{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,25]],"date-time":"2025-09-25T18:07:58Z","timestamp":1758823678363},"reference-count":19,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2010,2,22]],"date-time":"2010-02-22T00:00:00Z","timestamp":1266796800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Memetic Comp."],"published-print":{"date-parts":[[2010,12]]},"DOI":"10.1007\/s12293-010-0036-5","type":"journal-article","created":{"date-parts":[[2010,2,21]],"date-time":"2010-02-21T04:21:39Z","timestamp":1266726099000},"page":"249-257","source":"Crossref","is-referenced-by-count":3,"title":["Solving regression problem with complementary neural networks and an adjusted averaging technique"],"prefix":"10.1007","volume":"2","author":[{"given":"Pawalai","family":"Kraipeerapun","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sathit","family":"Nakkrasae","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chun Che","family":"Fung","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Somkid","family":"Amornsamankul","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2010,2,22]]},"reference":[{"key":"36_CR1","doi-asserted-by":"crossref","unstructured":"Alfeld P (1989) Scattered Data interpolation in three or more variables. In: Mathematical methods in computer aided geometric design. Academic Press, New Yrok, pp 1\u201334","DOI":"10.1016\/B978-0-12-460515-2.50005-6"},{"key":"36_CR2","doi-asserted-by":"crossref","first-page":"157","DOI":"10.1117\/1.1455013","volume":"11","author":"I Amidror","year":"2002","unstructured":"Amidror I (2002) Scattered data interpolation methods for electronic imaging systems:A survey. J Electron Imaging 11: 157\u2013176","journal-title":"J Electron Imaging"},{"key":"36_CR3","unstructured":"Asuncion A, Newman DJ (2007) UCI machine learning repository. http:\/\/www.ics.uci.edu\/~mlearn\/MLRepository.html . University of California, Irvine, School of Information and Computer Sciences"},{"issue":"1","key":"36_CR4","doi-asserted-by":"crossref","first-page":"49","DOI":"10.1504\/IJEF.2006.008837","volume":"1","author":"W-H Chen","year":"2006","unstructured":"Chen W-H, Shih J-Y (2006) Comparison of support-vector machines and back propagation neural networks in forecasting the six major Asian stock markets. Int J Electron Finance 1(1): 49\u201367","journal-title":"Int J Electron Finance"},{"key":"36_CR5","volume-title":"Multidimensional scaling","author":"TF Cox","year":"2001","unstructured":"Cox TF, Cox MAA (2001) Multidimensional scaling, 2nd edn. Chapman and Hall CRC, London","edition":"2"},{"key":"36_CR6","unstructured":"Crone SF, Lessmann S, Pietsch S (2006) Forecasting with computational intelligence\u2014an evaluation of support vector regression and artificial neural networks for time series prediction. In: Proceedings of international joint conference on neural networks, Canada, pp 3159\u20133166"},{"issue":"4","key":"36_CR7","doi-asserted-by":"crossref","first-page":"305","DOI":"10.1007\/s12293-009-0015-x","volume":"1","author":"P Hartono","year":"2009","unstructured":"Hartono P, Kakita S (2009) Fast reinforcement learning for simple physical robots. Memet Comput 1(4): 305\u2013313","journal-title":"Memet Comput"},{"key":"36_CR8","doi-asserted-by":"crossref","unstructured":"Ince H, Trafalis TB (2004) Kernel principal component analysis and support vector machines for stock price prediction. In: Proceedings of IEEE international joint conference on neural networks, vol 3, pp 2053\u20132058","DOI":"10.1109\/IJCNN.2004.1380933"},{"issue":"13-15","key":"36_CR9","doi-asserted-by":"crossref","first-page":"2845","DOI":"10.1016\/j.neucom.2008.07.017","volume":"72","author":"P Kraipeerapun","year":"2009","unstructured":"Kraipeerapun P, Fung CC (2009) Binary classification using ensemble neural networks and interval neutrosophic sets. Neurocomputing 72(13-15): 2845\u20132856","journal-title":"Neurocomputing"},{"key":"36_CR10","doi-asserted-by":"crossref","unstructured":"Kraipeerapun P, Nakkrasae S, Amornsamankul S, Fung CC (2009) Complementary neural networks For regression problems. In: Proceedings of the international conference on machine learning and cybernetics (ICMLC2009), Hebei, China, pp 3442\u20133447","DOI":"10.1109\/ICMLC.2009.5212716"},{"issue":"5","key":"36_CR11","doi-asserted-by":"crossref","first-page":"520","DOI":"10.1029\/2000PA000562","volume":"16","author":"BA Malmgren","year":"2001","unstructured":"Malmgren BA, Kucera M, Nyberg J, Waelbroeck C (2001) Comparison of statistical and artificial neural network techniques for estimating past sea surface temperatures from planktonic foraminifer census data. Paleoceanography 16(5): 520\u2013530","journal-title":"Paleoceanography"},{"key":"36_CR12","volume-title":"MATLAB mathematics version 7","author":"MATHWORKS","year":"2004","unstructured":"MATHWORKS: (2004) MATLAB mathematics version 7. The MathWorks Inc, Natick"},{"key":"36_CR13","doi-asserted-by":"crossref","first-page":"169","DOI":"10.1016\/S0925-2312(03)00431-4","volume":"55","author":"D Meyer","year":"2003","unstructured":"Meyer D, Leisch F, Hornik K (2003) The support vector machine under test. Neurocomputing 55: 169\u2013186","journal-title":"Neurocomputing"},{"issue":"11","key":"36_CR14","doi-asserted-by":"crossref","first-page":"1","DOI":"10.4304\/jcp.3.11.1-8","volume":"3","author":"IS Msiza","year":"2008","unstructured":"Msiza IS, Nelwamondo FV, Marwala T (2008) Water demand prediction using artificial neural networks and support vector regression. J Comput 3(11): 1\u20138","journal-title":"J Comput"},{"key":"36_CR15","unstructured":"Osowski S, Siwek K, Markiewicz T (2004) MLP and SVM networks\u2014a comparative study. In: Proceedings of the 6th nordic signal processing symposium, pp 37\u201340"},{"key":"36_CR16","doi-asserted-by":"crossref","first-page":"2","DOI":"10.1016\/j.eswa.2007.10.005","volume":"36","author":"M Paliwal","year":"2009","unstructured":"Paliwal M, Kumar UA (2009) Neural networks and statistical techniques: a review of applications. Expert Syst Appl 36: 2\u201317","journal-title":"Expert Syst Appl"},{"issue":"4","key":"36_CR17","doi-asserted-by":"crossref","first-page":"271","DOI":"10.1007\/s12293-009-0018-7","volume":"1","author":"K Yamauchi","year":"2009","unstructured":"Yamauchi K (2009) Optimal incremental learning under covariate shift. Memet Comput 1(4): 271\u2013279","journal-title":"Memet Comput"},{"issue":"12","key":"36_CR18","doi-asserted-by":"crossref","first-page":"1797","DOI":"10.1016\/S0008-8846(98)00165-3","volume":"28","author":"I-C Yeh","year":"1998","unstructured":"Yeh I-C (1998) Modeling of strength of high performance concrete using artificial neural networks. Cem Concr Res 28(12): 1797\u20131808","journal-title":"Cem Concr Res"},{"key":"36_CR19","doi-asserted-by":"crossref","unstructured":"Zhao L (2009) Neural networks in business time series forecasting: benefits and problems. In: ABR and TLC conference proceedings, Hawaii, USA","DOI":"10.19030\/rbis.v13i3.4324"}],"container-title":["Memetic Computing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s12293-010-0036-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s12293-010-0036-5\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s12293-010-0036-5","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,5,28]],"date-time":"2020-05-28T06:44:10Z","timestamp":1590648250000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s12293-010-0036-5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2010,2,22]]},"references-count":19,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2010,12]]}},"alternative-id":["36"],"URL":"https:\/\/doi.org\/10.1007\/s12293-010-0036-5","relation":{},"ISSN":["1865-9284","1865-9292"],"issn-type":[{"value":"1865-9284","type":"print"},{"value":"1865-9292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2010,2,22]]}}}