{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,15]],"date-time":"2026-01-15T02:05:26Z","timestamp":1768442726182,"version":"3.49.0"},"reference-count":83,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2011,4,6]],"date-time":"2011-04-06T00:00:00Z","timestamp":1302048000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Appl Intell"],"published-print":{"date-parts":[[2011,6]]},"DOI":"10.1007\/s10489-011-0284-1","type":"journal-article","created":{"date-parts":[[2011,4,5]],"date-time":"2011-04-05T02:30:35Z","timestamp":1301970635000},"page":"331-346","source":"Crossref","is-referenced-by-count":3,"title":["A study on the medium-term forecasting using exogenous variable selection of the extra-virgin olive oil with soft computing methods"],"prefix":"10.1007","volume":"34","author":[{"given":"Antonio J.","family":"Rivera","sequence":"first","affiliation":[]},{"given":"Pedro","family":"P\u00e9rez-Recuerda","sequence":"additional","affiliation":[]},{"given":"Mar\u00eda Dolores","family":"P\u00e9rez-Godoy","sequence":"additional","affiliation":[]},{"given":"Mar\u00eda Jose","family":"del Jes\u00fas","sequence":"additional","affiliation":[]},{"given":"Mar\u00eda Pilar","family":"Fr\u00edas","sequence":"additional","affiliation":[]},{"given":"Manuel","family":"Parras","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2011,4,6]]},"reference":[{"key":"284_CR1","volume-title":"Technical analysis from A to Z","author":"S Achelis","year":"2000","unstructured":"Achelis S (2000) Technical analysis from A to Z, 2nd edn. McGraw-Hill, New York","edition":"2"},{"issue":"3","key":"284_CR2","doi-asserted-by":"crossref","first-page":"307","DOI":"10.1007\/s00500-008-0323-y","volume":"13","author":"J Alcal\u00e1-Fdez","year":"2009","unstructured":"Alcal\u00e1-Fdez J, Fern\u00e1ndez A, Garc\u00eda S, Del Jesus M, Ventura S, Garrell J, Otero J, Romero C, Bacardit J, Herrera F (2009) Keel: a software tool to assess evolutionary algorithms for data mining problems. Soft Comput 13(3):307\u2013318","journal-title":"Soft Comput"},{"issue":"2\u20133","key":"284_CR3","first-page":"255","volume":"17","author":"J Alcal\u00e1-Fdez","year":"2011","unstructured":"Alcal\u00e1-Fdez J, Luengo J, Derrac J, Garc\u00eda S, S\u00e1nchez L, Herrera F (2011) Keel data-mining software tool: data set repository, integration of algorithms and experimental analysis framework. J\u00a0Multiple-Valued Logic Soft Comput 17(2\u20133):255\u2013287","journal-title":"J\u00a0Multiple-Valued Logic Soft Comput"},{"issue":"3","key":"284_CR4","doi-asserted-by":"crossref","first-page":"5932","DOI":"10.1016\/j.eswa.2008.07.006","volume":"36","author":"G Atsalakis","year":"2009","unstructured":"Atsalakis G, Valavanis K (2009) Surveying stock market forecasting techniques\u2014part ii: Soft computing methods. Expert Syst Appl 36(3, Part 2):5932\u20135941","journal-title":"Expert Syst Appl"},{"issue":"8","key":"284_CR5","doi-asserted-by":"crossref","first-page":"2165","DOI":"10.1016\/j.enconman.2008.02.021","volume":"49","author":"A Azadeh","year":"2008","unstructured":"Azadeh A, Saberi M, Ghaderi S, Gitiforouz A, Ebrahimipour V (2008) Improved estimation of electricity demand function by integration of fuzzy system and data mining approach. Energy Convers Manag 49(8):2165\u20132177","journal-title":"Energy Convers Manag"},{"issue":"4","key":"284_CR6","doi-asserted-by":"crossref","first-page":"1218","DOI":"10.1016\/j.eswa.2006.02.011","volume":"32","author":"J Aznarte","year":"2007","unstructured":"Aznarte J, Ben\u00edtez J, Lugilde D, de Linares C, de\u00a0la Guardia C, S\u00e1nchez F (2007) Forecasting airborne pollen concentration time series with neural and neuro-fuzzy models. Expert Syst Appl 32(4):1218\u20131225","journal-title":"Expert Syst Appl"},{"issue":"1","key":"284_CR7","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1109\/4235.585888","volume":"1","author":"T B\u00e4ck","year":"1997","unstructured":"B\u00e4ck T, Hammel U, Schwefel H (1997) Evolutionary computation: comments on the history and current state. IEEE Trans Evol Comput 1(1):3\u201317","journal-title":"IEEE Trans Evol Comput"},{"issue":"1","key":"284_CR8","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s10489-007-0063-1","volume":"29","author":"D Bao","year":"2008","unstructured":"Bao D (2008) A generalized model for financial time series representation and prediction. Appl Intell 29(1):1\u201311","journal-title":"Appl Intell"},{"key":"284_CR9","doi-asserted-by":"crossref","DOI":"10.1002\/9781118619193","volume-title":"Time series analysis: forecasting and control","author":"G Box","year":"2008","unstructured":"Box G, Jenkins G, Reinsel G (2008) Time series analysis: forecasting and control, 4th edn. Wiley, New York","edition":"4"},{"key":"284_CR10","first-page":"321","volume":"2","author":"D Broomhead","year":"1988","unstructured":"Broomhead D, Lowe D (1988) Multivariable functional interpolation and adaptive networks. Complex Syst 2:321\u2013355","journal-title":"Complex Syst"},{"issue":"5","key":"284_CR11","doi-asserted-by":"crossref","first-page":"928","DOI":"10.1109\/TSMCB.2005.847743","volume":"35","author":"O Buchtala","year":"2005","unstructured":"Buchtala O, Klimek M, Sick B (2005) Evolutionary optimization of radial basis function classifiers for data mining applications. IEEE Trans Syst Man Cybern, Part B, Cybern 35(5):928\u2013947","journal-title":"IEEE Trans Syst Man Cybern, Part B, Cybern"},{"issue":"5","key":"284_CR12","doi-asserted-by":"crossref","first-page":"1239","DOI":"10.1109\/72.788663","volume":"10","author":"C Chen","year":"1999","unstructured":"Chen C, Wu Y, Luk B (1999) Combined genetic algorithm optimization and regularized orthogonal least squares learning for radial basis function networks. IEEE Trans Neural Netw 10(5):1239\u20131243","journal-title":"IEEE Trans Neural Netw"},{"key":"284_CR13","doi-asserted-by":"crossref","first-page":"93","DOI":"10.1007\/0-387-25465-X_5","volume-title":"The data mining and knowledge discovery handbook","author":"B Chizi","year":"2005","unstructured":"Chizi B, Maimon O (2005) Dimension reduction and feature selection. In: The data mining and knowledge discovery handbook, pp\u00a093\u2013111. Springer, Berlin"},{"issue":"4","key":"284_CR14","doi-asserted-by":"crossref","first-page":"610","DOI":"10.1016\/j.cie.2007.06.005","volume":"53","author":"H Co","year":"2007","unstructured":"Co H, Boosarawongse R (2007) Forecasting Thailand\u2019s rice export: statistical techniques vs. artificial neural networks. Comput Ind Eng 53(4):610\u2013627","journal-title":"Comput Ind Eng"},{"key":"284_CR15","first-page":"1","volume":"7","author":"J Dem\u0161ar","year":"2006","unstructured":"Dem\u0161ar J (2006) Statistical comparisons of classifiers over multiple data sets. J Mach Learn Res 7:1\u201330","journal-title":"J Mach Learn Res"},{"issue":"2","key":"284_CR16","doi-asserted-by":"crossref","first-page":"221","DOI":"10.1016\/S0165-0114(01)00169-5","volume":"127","author":"H Dourra","year":"2002","unstructured":"Dourra H, Siy P (2002) Investment using technical analysis and fuzzy logic. Fuzzy Sets Syst 127(2):221\u2013240","journal-title":"Fuzzy Sets Syst"},{"key":"284_CR17","doi-asserted-by":"crossref","first-page":"1388","DOI":"10.1016\/j.neucom.2007.06.004","volume":"71","author":"H Du","year":"2008","unstructured":"Du H, Zhang N (2008) Time series prediction using evolving radial basis function networks with new encoding scheme. Neurocomputing 71:1388\u20131400","journal-title":"Neurocomputing"},{"key":"284_CR18","volume-title":"Pattern classification and scene analysis","author":"R Duda","year":"1973","unstructured":"Duda R, Hart P (1973) Pattern classification and scene analysis. Wiley, New York"},{"key":"284_CR19","volume-title":"Advances in knowledge discovery and data mining","author":"J Elder","year":"1996","unstructured":"Elder J, Pregibon D (1996) A statistical perspective on knowledge discovery in databases. In: Advances in knowledge discovery and data mining. AAAI Press\/MIT Press, Menlo Park\/Cambridge"},{"key":"284_CR20","first-page":"1889","volume":"6","author":"R Fan","year":"2005","unstructured":"Fan R, Chen P, Lin C (2005) Working set selection using the second order information for training svm. J Mach Learn Res 6:1889\u20131918","journal-title":"J Mach Learn Res"},{"key":"284_CR21","volume-title":"Proceedings of the thirteenth international joint conference on artificial intelligence","author":"U Fayyad","year":"1993","unstructured":"Fayyad U, Irani K (1993) Multi-interval discretisation of continuous valued attributes for classification learning. In: Proceedings of the thirteenth international joint conference on artificial intelligence. Morgan Kaufmann, San Mateo"},{"key":"284_CR22","doi-asserted-by":"crossref","first-page":"477","DOI":"10.1016\/j.ejor.2004.08.010","volume":"169","author":"F Garc\u00eda","year":"2006","unstructured":"Garc\u00eda F, Garc\u00eda M, Meli\u00e1n B, Moreno J, Marcos J (2006) Solving feature subset selection problem by a parallel scatter search. Eur J Oper Res 169:477\u2013489","journal-title":"Eur J Oper Res"},{"key":"284_CR23","first-page":"555","volume-title":"International conference on hybrid intelligent systems","author":"R Garc\u00eda","year":"2008","unstructured":"Garc\u00eda R, Ben\u00edtez J, Sa\u00edz G (2008) Feature selection for time series forecasting: a case study. In: International conference on hybrid intelligent systems, pp\u00a0555\u2013560"},{"issue":"10","key":"284_CR24","doi-asserted-by":"crossref","first-page":"959","DOI":"10.1007\/s00500-008-0392-y","volume":"13","author":"S Garc\u00eda","year":"2009","unstructured":"Garc\u00eda S, Fern\u00e1ndez A, Luengo J, Herrera F (2009) A study of statistical techniques and performance measures for genetics\u2013based machine learning: accuracy and interpretability. Soft Comput 13(10):959\u2013977","journal-title":"Soft Comput"},{"key":"284_CR25","doi-asserted-by":"crossref","first-page":"2044","DOI":"10.1016\/j.ins.2009.12.010","volume":"180","author":"S Garc\u00edia","year":"2010","unstructured":"Garc\u00edia S, Fern\u00e1ndez A, Luengo J, Herrera F (2010) Advanced nonparametric tests for multiple comparisons in the design of experiments in computational intelligence and data mining: experimental analysis of power. Inf Sci 180:2044\u20132064","journal-title":"Inf Sci"},{"key":"284_CR26","first-page":"2677","volume":"9","author":"S Garc\u00eda","year":"2008","unstructured":"Garc\u00eda S, Herrera F (2008) An extension on \u201cstatistical comparisons of classifiers over multiple data sets\u201d for all pairwise comparisons. J Mach Learn Res 9:2677\u20132694","journal-title":"J Mach Learn Res"},{"issue":"6","key":"284_CR27","doi-asserted-by":"crossref","first-page":"617","DOI":"10.1007\/s10732-008-9080-4","volume":"15","author":"S Garc\u00eda","year":"2009","unstructured":"Garc\u00eda S, Molina D, Lozano M, Herrera F (2009) A study on the use of non-parametric test for analyzing the evolutionary algorithms\u2019 behaviour: a case study on the cec\u20192005 special session on real parameter optimization. J Heuristics 15(6):617\u2013644","journal-title":"J Heuristics"},{"issue":"4","key":"284_CR28","doi-asserted-by":"crossref","first-page":"351","DOI":"10.1109\/48.180304","volume":"17","author":"J Ghost","year":"1992","unstructured":"Ghost J, Deuser L, Beck S (1992) A neural network based hybrid system for detection characterization and classification of short-duration oceanic signals. IEEE J Ocean Eng 17(4):351\u2013363","journal-title":"IEEE J Ocean Eng"},{"key":"284_CR29","volume-title":"Genetic algorithms in search, optimization, and machine learning","author":"D Goldberg","year":"1989","unstructured":"Goldberg D (1989) Genetic algorithms in search, optimization, and machine learning. Addison-Wesley, Reading"},{"key":"284_CR30","first-page":"41","volume-title":"Proceedings of the second international conference on genetic algorithms","author":"D Goldberg","year":"1987","unstructured":"Goldberg D, Richardson J (1987) Genetic algorithms with sharing for multimodal function optimization. In: Proceedings of the second international conference on genetic algorithms, pp 41\u201349"},{"key":"284_CR31","volume-title":"Matrix computations","author":"G Golub","year":"1996","unstructured":"Golub G, Van Loan C (1996) Matrix computations, 3rd edn. Johns Hopkins University Press, Baltimore","edition":"3"},{"issue":"6","key":"284_CR32","doi-asserted-by":"crossref","first-page":"4050","DOI":"10.1016\/j.eswa.2009.11.056","volume":"37","author":"A Guill\u00e9n","year":"2010","unstructured":"Guill\u00e9n A, Rubio G, Toda I, Rivera A, Pomares H, Rojas I (2010) Applying multiobjective rbfnns optimization and feature selection to a mineral reduction problem. Expert Syst Appl 37(6):4050\u20134057","journal-title":"Expert Syst Appl"},{"key":"284_CR33","volume-title":"Proceedings of the IEEE symposium on computational intelligence and data mining","author":"M G\u00fctlein","year":"1999","unstructured":"G\u00fctlein M, Frank E, Hall M, Karwath A (1999) Large scale attribute selection using wrappers. In: Proceedings of the IEEE symposium on computational intelligence and data mining"},{"key":"284_CR34","doi-asserted-by":"crossref","first-page":"1157","DOI":"10.1162\/153244303322753616","volume":"3","author":"I Guyon","year":"2003","unstructured":"Guyon I, Elisseeff A (2003) An introduction to variable and feature selection. J Mach Learn Res 3:1157\u20131182","journal-title":"J Mach Learn Res"},{"key":"284_CR35","doi-asserted-by":"crossref","first-page":"1925","DOI":"10.1002\/hyp.5637","volume":"19","author":"L Gwo-Fong","year":"2005","unstructured":"Gwo-Fong L, Lu-Hsien C (2005) Time series forecasting by combining the radial basis function network and the self-organizing map. Hydrol Process 19:1925\u20131937","journal-title":"Hydrol Process"},{"key":"284_CR36","doi-asserted-by":"crossref","unstructured":"Hall M, Frank E, Holmes G, Pfahringer B, Reutemann P, Witten I (2009) The Weka data mining software: an update. SIGKDD Explorations 11(1)","DOI":"10.1145\/1656274.1656278"},{"key":"284_CR37","volume-title":"Twelfth international FLAIRS conference","author":"M Hall","year":"1999","unstructured":"Hall M, Smith L (1999) Feature selection for machine learning: comparing a correlation-based filter approach to the wrapper. In: Twelfth international FLAIRS conference. AAAI Press\/MIT Press, Menlo Park\/Cambridge"},{"key":"284_CR38","doi-asserted-by":"crossref","first-page":"193","DOI":"10.1007\/s00521-004-0404-5","volume":"13","author":"C Harpham","year":"2004","unstructured":"Harpham C, Dawson C, Brown M (2004) A review of genetic algorithms applied to training radial basis function networks. Neural Comput Appl 13:193\u2013201","journal-title":"Neural Comput Appl"},{"key":"284_CR39","volume-title":"Neural networks: a comprehensive foundation","author":"S Haykin","year":"1998","unstructured":"Haykin S (1998) Neural networks: a comprehensive foundation, 2nd edn. Prentice Hall, New York","edition":"2"},{"key":"284_CR40","volume-title":"Adaptation in natural and artificial systems","author":"J Holland","year":"1975","unstructured":"Holland J (1975) Adaptation in natural and artificial systems. University of Michigan Press, Ann Arbor"},{"key":"284_CR41","first-page":"65","volume":"6","author":"S Holm","year":"1979","unstructured":"Holm S (1979) A simple sequentially rejective multiple test procedure. Scand J Stat 6:65\u201370","journal-title":"Scand J Stat"},{"issue":"3","key":"284_CR42","first-page":"11","volume":"10","author":"L Howard","year":"1995","unstructured":"Howard L, D\u2019Angelo D (1995) The ga-p: a genetic algorithm and genetic programming hybrid. IEEE Intell Syst 10(3):11\u201315","journal-title":"IEEE Intell Syst"},{"key":"284_CR43","volume-title":"Temporal and spatio-temporal data mining","author":"W Hsu","year":"2007","unstructured":"Hsu W, Lee ML, Wang J (2007) Temporal and spatio-temporal data mining. IGI Publishing, Hershey"},{"issue":"3","key":"284_CR44","doi-asserted-by":"crossref","first-page":"665","DOI":"10.1109\/21.256541","volume":"23","author":"J Jang","year":"1993","unstructured":"Jang J (1993) Anfis: adaptative-network-based fuzzy inference system. IEEE Trans Syst Man Cybern 23(3):665\u2013685","journal-title":"IEEE Trans Syst Man Cybern"},{"issue":"7","key":"284_CR45","doi-asserted-by":"crossref","first-page":"769","DOI":"10.1016\/j.fss.2007.10.011","volume":"159","author":"M Khashei","year":"2008","unstructured":"Khashei M, Reza Hejazi S, Bijari M (2008) A new hybrid artificial neural networks and fuzzy regression model for time series forecasting. Fuzzy Sets Syst 159(7):769\u2013786","journal-title":"Fuzzy Sets Syst"},{"issue":"3","key":"284_CR46","doi-asserted-by":"crossref","first-page":"4717","DOI":"10.1016\/j.eswa.2008.06.017","volume":"36","author":"C Lee","year":"2009","unstructured":"Lee C, Chiang Y, Shih C, Tsai C (2009) Noisy time series prediction using m-estimator based robust radial basis function neural networks with growing and pruning techniques. Expert Syst Appl 36(3):4717\u20134724","journal-title":"Expert Syst Appl"},{"issue":"1","key":"284_CR47","doi-asserted-by":"crossref","first-page":"81","DOI":"10.1051\/ejess:2000110","volume":"14","author":"A Lendasse","year":"2000","unstructured":"Lendasse A, de Bodt E, Wertz V, Verleysen M (2000) Non-linear financial time series forecasting\u2014application to the bel 20 stock market index. Eur J Econ Soc Syst 14(1):81\u201391","journal-title":"Eur J Econ Soc Syst"},{"issue":"4","key":"284_CR48","first-page":"995","volume":"29","author":"G Liang","year":"2008","unstructured":"Liang G, Xu W, He Y, Zhao Y (2008) Study and application of pso-rbfnn model to nonlinear time series forecasting for geotechnical engineering. Yantu Lixue (Rock Soil Mech) 29(4):995\u20131000","journal-title":"Yantu Lixue (Rock Soil Mech)"},{"issue":"4\u20136","key":"284_CR49","doi-asserted-by":"crossref","first-page":"559","DOI":"10.1016\/j.neucom.2007.09.002","volume":"71","author":"Z Lin","year":"2008","unstructured":"Lin Z, Zhang D, Gao L, Kong Z (2008) Using an adaptive self-tuning approach to forecast power loads. Neurocomputing 71(4\u20136):559\u2013563","journal-title":"Neurocomputing"},{"key":"284_CR50","doi-asserted-by":"crossref","first-page":"1197","DOI":"10.1016\/j.asoc.2006.01.007","volume":"4","author":"J Liu","year":"2007","unstructured":"Liu J, Kwong R (2007) Automatic extraction and identification of chart patterns towards financial forecast. Appl Soft Comput 4:1197\u20131208","journal-title":"Appl Soft Comput"},{"key":"284_CR51","doi-asserted-by":"crossref","DOI":"10.1007\/b107408","volume-title":"The data mining and knowledge discovery handbook","author":"OLR Maimon","year":"2005","unstructured":"Maimon OLR (2005) The data mining and knowledge discovery handbook. Springer, Berlin"},{"key":"284_CR52","volume-title":"Knowledge discovery and data mining\u2014the info-fuzzy network (ifn) methodology","author":"O Maimon","year":"2000","unstructured":"Maimon O, Last M (2000) Knowledge discovery and data mining\u2014the info-fuzzy network (ifn) methodology. Kluwer Academic, Dordrecht"},{"issue":"1","key":"284_CR53","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/S0020-7373(75)80002-2","volume":"7","author":"E Mandani","year":"1975","unstructured":"Mandani E, Assilian S (1975) An experiment in linguistic synthesis with a fuzzy logic controller. Int J Man-Mach Stud 7(1):1\u201313","journal-title":"Int J Man-Mach Stud"},{"key":"284_CR54","doi-asserted-by":"crossref","first-page":"325","DOI":"10.1049\/iet-gtd.2008.0328","volume":"4","author":"K Meng","year":"2009","unstructured":"Meng K, Dong Z, Wong K (2009) Self-adaptive radial basis function neural network for short-term electricity price forecasting. IET Gener Transm Distrib 4:325\u2013335","journal-title":"IET Gener Transm Distrib"},{"issue":"2","key":"284_CR55","doi-asserted-by":"crossref","first-page":"111","DOI":"10.1007\/s10489-007-0051-5","volume":"29","author":"A Moch\u00f3n","year":"2008","unstructured":"Moch\u00f3n A, Quintana D, S\u00e1ez Y, Isasi P (2008) Soft computing techniques applied to finance. Appl Intell 29(2):111\u2013115","journal-title":"Appl Intell"},{"key":"284_CR56","doi-asserted-by":"crossref","first-page":"525","DOI":"10.1016\/S0893-6080(05)80056-5","volume":"6","author":"F Moller","year":"1990","unstructured":"Moller F (1990) A scaled conjugate gradient algorithm for fast supervised learning. Neural Netw 6:525\u2013533","journal-title":"Neural Netw"},{"issue":"3","key":"284_CR57","doi-asserted-by":"crossref","first-page":"219","DOI":"10.1023\/A:1008752024721","volume":"14","author":"S Moshiri","year":"1999","unstructured":"Moshiri S, Cameron N, Scuse D (1999) Static dynamic, and hybrid neural networks in forecasting inflation. Comput Econ 14(3):219\u2013235","journal-title":"Comput Econ"},{"key":"284_CR58","volume-title":"Technical analysis of the financial markets: a comprehensive guide to trading methods and applications","author":"J Murphy","year":"1999","unstructured":"Murphy J (1999) Technical analysis of the financial markets: a comprehensive guide to trading methods and applications. New York Institute of Finance, New York"},{"issue":"3","key":"284_CR59","doi-asserted-by":"crossref","first-page":"352","DOI":"10.1007\/s10489-009-0171-1","volume":"33","author":"V Nekoukar","year":"2009","unstructured":"Nekoukar V, Beheshti MH (2009) A local linear radial basis function neural network for financial time-series forecasting. Appl Intell 33(3):352\u2013356","journal-title":"Appl Intell"},{"issue":"2","key":"284_CR60","doi-asserted-by":"crossref","first-page":"305","DOI":"10.1162\/neco.1993.5.2.305","volume":"5","author":"J Park","year":"1993","unstructured":"Park J, Sandberg I (1993) Universal approximation and radial basis function network. Neural Comput 5(2):305\u2013316","journal-title":"Neural Comput"},{"issue":"4","key":"284_CR61","doi-asserted-by":"crossref","first-page":"601","DOI":"10.1109\/72.701174","volume":"9","author":"W Pedrycz","year":"1998","unstructured":"Pedrycz W (1998) Conditional fuzzy clustering in the design of radial basis function neural networks. IEEE Trans Neural Netw 9(4):601\u2013612","journal-title":"IEEE Trans Neural Netw"},{"issue":"1","key":"284_CR62","doi-asserted-by":"crossref","first-page":"75","DOI":"10.3233\/HIS-2010-0106","volume":"7","author":"M P\u00e9rez-Godoy","year":"2010","unstructured":"P\u00e9rez-Godoy M, P\u00e9rez P, Rivera A, del Jesus M, Carmona C, Fr\u00edas M, Parras M (2010) CO2RBFN for short-term forecasting of the extra virgin olive oil price in the Spanish market. Int J Hybrid Intell Syst 7(1):75\u201387","journal-title":"Int J Hybrid Intell Syst"},{"issue":"9","key":"284_CR63","doi-asserted-by":"crossref","first-page":"953","DOI":"10.1007\/s00500-009-0488-z","volume":"14","author":"M P\u00e9rez-Godoy","year":"2010","unstructured":"P\u00e9rez-Godoy M, Rivera A, del Jesus M, Berlanga F (2010) CO2RBFN: an evolutionary cooperative-competitive RBFN design algorithm for classification problems. Soft Comput 14(9):953\u2013971","journal-title":"Soft Comput"},{"issue":"1","key":"284_CR64","doi-asserted-by":"crossref","first-page":"53","DOI":"10.1016\/j.engappai.2007.02.001","volume":"21","author":"R Pino","year":"2008","unstructured":"Pino R, Parreno J, Gomez A, Priore P (2008) Forecasting next-day price of electricity in the Spanish energy market using artificial neural networks. Eng Appl Artif Intell 21(1):53\u201362","journal-title":"Eng Appl Artif Intell"},{"issue":"1","key":"284_CR65","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1162\/106365600568086","volume":"8","author":"M Potter","year":"2000","unstructured":"Potter M, De Jong K (2000) Cooperative coevolution: an architecture for evolving coadapted subcomponents. Evol Comput 8(1):1\u201329","journal-title":"Evol Comput"},{"key":"284_CR66","volume-title":"Numerical recipes in C","author":"W Press","year":"1988","unstructured":"Press W, Flannery B, Teukolski S, Vetterling W (1988) Numerical recipes in C. Cambridge University Press, Cambridge"},{"key":"284_CR67","doi-asserted-by":"crossref","first-page":"207","DOI":"10.1016\/j.ins.2003.09.025","volume":"165","author":"V Rivas","year":"2004","unstructured":"Rivas V, Merelo J, Castillo P, Arenas M, Castellano J (2004) Evolving rbf neural networks for time-series forecasting with evrbf. Inf Sci 165:207\u2013220","journal-title":"Inf Sci"},{"issue":"7","key":"284_CR68","doi-asserted-by":"crossref","first-page":"655","DOI":"10.1007\/s00500-006-0128-9","volume":"11","author":"A Rivera","year":"2007","unstructured":"Rivera A, Rojas I, Ortega J, del Jesus M (2007) A new hybrid methodology for cooperative-coevolutionary optimization of radial basis function networks. Soft Comput 11(7):655\u2013668","journal-title":"Soft Comput"},{"issue":"1","key":"284_CR69","doi-asserted-by":"crossref","first-page":"34","DOI":"10.1145\/846170.846173","volume":"1","author":"J Roddick","year":"1999","unstructured":"Roddick J, Spiliopoulou M (1999) A bibliography of temporal spatial and spatio-temporal data mining research. ACM SIGKDD Explor Newsl 1(1):34\u201338","journal-title":"ACM SIGKDD Explor Newsl"},{"key":"284_CR70","doi-asserted-by":"crossref","first-page":"245","DOI":"10.1007\/978-1-4615-5209-3_19","volume-title":"Information, uncertainty and fusion","author":"L S\u00e1nchez","year":"2000","unstructured":"S\u00e1nchez L, Couso I (2000) Fuzzy random variables-based modeling with ga-p algorithms. In: Bouchon B, Yager RR, Zadeh L (Eds.) Information, uncertainty and fusion, pp 245\u2013256"},{"key":"284_CR71","volume-title":"Handbook of parametric and nonparametric statistical procedures","author":"D Sheskin","year":"2006","unstructured":"Sheskin D (2006) Handbook of parametric and nonparametric statistical procedures, 2nd edn. Chapman & Hall\/CRC Press, London\/Boca Raton","edition":"2"},{"key":"284_CR72","doi-asserted-by":"crossref","first-page":"221","DOI":"10.1016\/S0020-0255(01)00086-X","volume":"133","author":"A Sheta","year":"2001","unstructured":"Sheta A, De Jong K (2001) Time-series forecasting using ga-tuned radial basis functions. Inf Sci 133:221\u2013228","journal-title":"Inf Sci"},{"key":"284_CR73","doi-asserted-by":"crossref","unstructured":"Tsay RS (2010) Analysis of financial time series, 3rd edn (2010)","DOI":"10.1002\/9780470644560"},{"issue":"1","key":"284_CR74","doi-asserted-by":"crossref","first-page":"41","DOI":"10.1016\/j.eswa.2005.09.002","volume":"31","author":"M Ture","year":"2006","unstructured":"Ture M, Kurt I (2006) Comparison of four different time series methods to forecast hepatitis A virus infection. Expert Syst Appl 31(1):41\u201346","journal-title":"Expert Syst Appl"},{"issue":"3","key":"284_CR75","doi-asserted-by":"crossref","first-page":"6668","DOI":"10.1016\/j.eswa.2008.08.019","volume":"36","author":"B Vanstone","year":"2009","unstructured":"Vanstone B, Finnie G (2009) An empirical methodology for developing stockmarket trading systems using artificial neural networks. Expert Syst Appl 36(3, Part 2), 6668\u20136680","journal-title":"Expert Syst Appl"},{"key":"284_CR76","volume-title":"Designing stock market trading systems: with and without soft computing","author":"B Vanstone","year":"2010","unstructured":"Vanstone B, Hahn T (2010) Designing stock market trading systems: with and without soft computing. Harriman House, Petersfield"},{"issue":"3","key":"284_CR77","doi-asserted-by":"crossref","first-page":"417","DOI":"10.1016\/j.eswa.2004.05.018","volume":"27","author":"M Versace","year":"2004","unstructured":"Versace M, Bhatt R, Hinds O, Shiffer M (2004) Predicting the exchange traded fund dia with a combination of genetic algorithms and neural networks. Expert Syst Appl 27(3):417\u2013425","journal-title":"Expert Syst Appl"},{"issue":"4","key":"284_CR78","doi-asserted-by":"crossref","first-page":"869","DOI":"10.1109\/72.508930","volume":"7","author":"B Whitehead","year":"1996","unstructured":"Whitehead B, Choate T (1996) Cooperative-competitive genetic evolution of radial basis function centers and widths for time series prediction. IEEE Trans Neural Netw 7(4):869\u2013880","journal-title":"IEEE Trans Neural Netw"},{"issue":"9","key":"284_CR79","doi-asserted-by":"crossref","first-page":"1415","DOI":"10.1109\/5.58323","volume":"78","author":"B Widrow","year":"1990","unstructured":"Widrow B, Lehr M (1990) 30 years of adaptive neural networks: perceptron, madaline and backpropagation. Proc IEEE 78(9):1415\u20131442","journal-title":"Proc IEEE"},{"key":"284_CR80","doi-asserted-by":"crossref","first-page":"80","DOI":"10.2307\/3001968","volume":"1","author":"F Wilcoxon","year":"1945","unstructured":"Wilcoxon F (1945) Individual comparisons by ranking methods. Biometrics 1:80\u201383","journal-title":"Biometrics"},{"key":"284_CR81","doi-asserted-by":"crossref","first-page":"1032","DOI":"10.1109\/ICNNB.2005.1614794","volume-title":"Proceedings of the 2005 international conference on neural networks and brain","author":"Q Xiong","year":"2005","unstructured":"Xiong Q, Yong S, Shi W, Chen J, Liang Y (2005) The research of forecasting model based on rbf neural network. In: Proceedings of the 2005 international conference on neural networks and brain, pp\u00a01032\u20131035"},{"issue":"3","key":"284_CR82","doi-asserted-by":"crossref","first-page":"853","DOI":"10.1109\/TPWRS.2008.922249","volume":"23","author":"Z Yun","year":"2008","unstructured":"Yun Z, Quan Z, Caixin S, Shaolan L, Yuming L, Yang S (2008) Rbf neural network and anfis-based short-term load forecasting approach in real-time price environment. IEEE Trans Power Syst 23(3):853\u2013858","journal-title":"IEEE Trans Power Syst"},{"key":"284_CR83","volume-title":"Biostatistical analysis","author":"J Zar","year":"1999","unstructured":"Zar J (1999) Biostatistical analysis. Prentice Hall, Upper Saddle River"}],"container-title":["Applied Intelligence"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10489-011-0284-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10489-011-0284-1\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10489-011-0284-1","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,6,9]],"date-time":"2019-06-09T17:36:54Z","timestamp":1560101814000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10489-011-0284-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2011,4,6]]},"references-count":83,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2011,6]]}},"alternative-id":["284"],"URL":"https:\/\/doi.org\/10.1007\/s10489-011-0284-1","relation":{},"ISSN":["0924-669X","1573-7497"],"issn-type":[{"value":"0924-669X","type":"print"},{"value":"1573-7497","type":"electronic"}],"subject":[],"published":{"date-parts":[[2011,4,6]]}}}