{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,19]],"date-time":"2025-05-19T18:42:22Z","timestamp":1747680142102},"reference-count":66,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2016,8,2]],"date-time":"2016-08-02T00:00:00Z","timestamp":1470096000000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Neural Comput & Applic"],"published-print":{"date-parts":[[2018,2]]},"DOI":"10.1007\/s00521-016-2513-3","type":"journal-article","created":{"date-parts":[[2016,8,2]],"date-time":"2016-08-02T10:14:04Z","timestamp":1470132844000},"page":"1015-1037","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":22,"title":["Evolutionary framework for coding area selection from cancer data"],"prefix":"10.1007","volume":"29","author":[{"given":"Sarwar","family":"Kamal","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nilanjan","family":"Dey","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sonia Farhana","family":"Nimmy","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shamim H.","family":"Ripon","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nawab Yousuf","family":"Ali","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Amira S.","family":"Ashour","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wahiba Ben Abdessalem","family":"Karaa","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gia Nhu","family":"Nguyen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fuqian","family":"Shi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2016,8,2]]},"reference":[{"issue":"2","key":"2513_CR1","doi-asserted-by":"crossref","first-page":"77","DOI":"10.1109\/MIS.2016.37","volume":"31","author":"P Cui","year":"2016","unstructured":"Cui P, Liu H, Aggarwal C, Wang F (2016) Uncovering and predicting human behaviors. IEEE Intell Syst 31(2):77\u201388","journal-title":"IEEE Intell Syst"},{"issue":"3","key":"2513_CR2","doi-asserted-by":"crossref","first-page":"26","DOI":"10.1145\/2815625","volume":"10","author":"K Subbian","year":"2016","unstructured":"Subbian K, Aggarwal CC, Srivastava J (2016) Mining influencers using information flows in social streams. ACM Trans Knowl Discov Data 10(3):26","journal-title":"ACM Trans Knowl Discov Data"},{"issue":"2","key":"2513_CR3","first-page":"14","volume":"7","author":"J Li","year":"2016","unstructured":"Li J, Le TD, Liu L, Liu J, Jin Z, Sun B, Ma S (2016) From observational studies to causal rule mining. ACM Trans Intell Syst Technol 7(2):14","journal-title":"ACM Trans Intell Syst Technol"},{"issue":"1","key":"2513_CR4","doi-asserted-by":"crossref","first-page":"17","DOI":"10.1109\/TKDE.2015.2468714","volume":"28","author":"CJ Wu","year":"2016","unstructured":"Wu CJ, Ku CF, Ho JM, Chen MS (2016) A novel pipeline approach for efficient big data broadcasting. IEEE Trans Knowl Data Eng 28(1):17\u201328","journal-title":"IEEE Trans Knowl Data Eng"},{"issue":"2","key":"2513_CR5","doi-asserted-by":"crossref","first-page":"297","DOI":"10.1109\/TKDE.2015.2411272","volume":"28","author":"V Leis","year":"2016","unstructured":"Leis V, Kemper A, Neumann T (2016) Scaling HTM-supported database transactions to many cores. IEEE Trans Knowl Data Eng 28(2):297\u2013310","journal-title":"IEEE Trans Knowl Data Eng"},{"issue":"3","key":"2513_CR6","doi-asserted-by":"crossref","first-page":"638","DOI":"10.1109\/TKDE.2015.2492559","volume":"28","author":"SS Bhowmick","year":"2016","unstructured":"Bhowmick SS, Seah BS (2016) Clustering and summarizing protein-protein interaction networks: a survey. IEEE Trans Knowl Data Eng 28(3):638\u2013658","journal-title":"IEEE Trans Knowl Data Eng"},{"issue":"5","key":"2513_CR7","doi-asserted-by":"crossref","first-page":"1285","DOI":"10.1109\/TKDE.2015.2510010","volume":"28","author":"C Zhou","year":"2016","unstructured":"Zhou C, Cule B, Goethasls B (2016) Pattern based sequence classification. IEEE Trans Knowl Data Eng 28(5):1285\u20131298","journal-title":"IEEE Trans Knowl Data Eng"},{"issue":"1","key":"2513_CR8","doi-asserted-by":"crossref","first-page":"65","DOI":"10.1109\/TEVC.2015.2424410","volume":"20","author":"J Zhong","year":"2016","unstructured":"Zhong J, Ong YS, Cai W (2016) Self-learning gene expression programming. IEEE Trans Evol Comput 20(1):65\u201380","journal-title":"IEEE Trans Evol Comput"},{"issue":"1","key":"2513_CR9","doi-asserted-by":"crossref","first-page":"316","DOI":"10.1109\/TEVC.2015.2444793","volume":"20","author":"J He","year":"2016","unstructured":"He J, Lin G (2016) Average convergence rate of evolutionary algorithms. IEEE Trans Evol Comput 20(1):316\u2013321","journal-title":"IEEE Trans Evol Comput"},{"issue":"1","key":"2513_CR10","doi-asserted-by":"crossref","first-page":"4","DOI":"10.1145\/2723157","volume":"42","author":"E Deadman","year":"2016","unstructured":"Deadman E, Higham NJ (2016) Testing matrix function algorithms using identities. ACM Trans Math Softw 42(1):4","journal-title":"ACM Trans Math Softw"},{"issue":"6","key":"2513_CR11","doi-asserted-by":"crossref","first-page":"3125","DOI":"10.1109\/TIT.2016.2555321","volume":"62","author":"HM Kiah","year":"2016","unstructured":"Kiah HM, Puleo GJ, Milenkovic O (2016) Codes for DNA sequence profiles. IEEE Trans Inf Theory 62(6):3125\u20133146","journal-title":"IEEE Trans Inf Theory"},{"issue":"2","key":"2513_CR12","doi-asserted-by":"crossref","first-page":"361","DOI":"10.1109\/TNNLS.2015.2499302","volume":"27","author":"JT Chien","year":"2016","unstructured":"Chien JT, KuBayesian YC (2016) Recurrent neural network for language modeling. IEEE Trans Neural Netw Learn Syst 27(2):361\u2013374","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"issue":"1","key":"2513_CR13","doi-asserted-by":"crossref","first-page":"106","DOI":"10.1109\/TPDS.2015.2388448","volume":"27","author":"A Turcu","year":"2016","unstructured":"Turcu A, Palmieri R, Ravindran B, Hirve S (2016) Automated data partitioning for highly scalable and strongly consistent transactions. IEEE Trans Parallel Distrib Syst 27(1):106\u2013118","journal-title":"IEEE Trans Parallel Distrib Syst"},{"issue":"1","key":"2513_CR14","doi-asserted-by":"crossref","first-page":"27","DOI":"10.1109\/TCBB.2015.2476790","volume":"13","author":"SP Deng","year":"2016","unstructured":"Deng SP, Zhu L, Huang DS (2016) Predicting hub genes associated with cervical cancer through gene co-expression networks. IEEE\/ACM Trans Comput Biol Bioinf 13(1):27\u201335","journal-title":"IEEE\/ACM Trans Comput Biol Bioinf"},{"issue":"1","key":"2513_CR15","doi-asserted-by":"crossref","first-page":"43","DOI":"10.1109\/TCBB.2015.2474389","volume":"13","author":"SY Hsieh","year":"2016","unstructured":"Hsieh SY, Chou YC (2016) A faster cDNA microarray gene expression data classifier for diagnosing diseases. IEEE\/ACM Trans Comput Biol Bioinf 13(1):43\u201354","journal-title":"IEEE\/ACM Trans Comput Biol Bioinf"},{"issue":"2","key":"2513_CR16","doi-asserted-by":"crossref","first-page":"350","DOI":"10.1109\/TCBB.2015.2452916","volume":"13","author":"N Dhulekar","year":"2016","unstructured":"Dhulekar N, Ray S, Yuan D, Baskaran A, Oztan B, Larsen M, Yene B (2016) Prediction of growth factor-dependent cleft formation during branching morphogenesis using a dynamic graph-based growth model. IEEE\/ACM Trans Comput Biol Bioinf 13(2):350\u2013363","journal-title":"IEEE\/ACM Trans Comput Biol Bioinf"},{"issue":"1","key":"2513_CR17","doi-asserted-by":"crossref","first-page":"158","DOI":"10.1109\/TCBB.2015.2424435","volume":"13","author":"OM Borroto","year":"2016","unstructured":"Borroto OM, Vega JMG, Ponce YM, Grau R (2016) Relational agreement measures for similarity searching of cheminformatic data sets. IEEE\/ACM Trans Comput Biol Bioinf 13(1):158\u2013167","journal-title":"IEEE\/ACM Trans Comput Biol Bioinf"},{"key":"2513_CR18","doi-asserted-by":"crossref","first-page":"26","DOI":"10.1016\/j.neucom.2014.11.086","volume":"176","author":"JA S\u00e1ez","year":"2016","unstructured":"S\u00e1ez JA, Luengo J, Herrera F (2016) Evaluating the classifier behavior with noisy data considering performance and robustness: the equalized loss of accuracy measure. Neurocomputing 176:26\u201335","journal-title":"Neurocomputing"},{"key":"2513_CR19","first-page":"505","volume":"27","author":"JA Saez","year":"2016","unstructured":"Saez JA, Galar M, Luengo J, Herrera F (2016) INFFC: an iterative class noise filter based on the fusion of classifiers with noise sensitivity control. Inf Fusion 27:505\u2013636","journal-title":"Inf Fusion"},{"key":"2513_CR20","doi-asserted-by":"crossref","first-page":"60","DOI":"10.1016\/j.neucom.2014.11.088","volume":"176","author":"A Palacios","year":"2016","unstructured":"Palacios A, Sanchez L, Couso I (2016) An extension of the FURIA classification algorithm to low quality data through fuzzy rankings and its application to the early diagnosis of dyslexia. Neurocomputing 176:60\u201371","journal-title":"Neurocomputing"},{"issue":"1","key":"2513_CR21","doi-asserted-by":"crossref","first-page":"40","DOI":"10.1109\/TFUZZ.2015.2426212","volume":"24","author":"JA Fdez","year":"2016","unstructured":"Fdez JA, Alonso JM (2016) A survey of fuzzy systems software: taxonomy, current research trends and prospects. IEEE Trans Fuzzy Syst 24(1):40\u201356","journal-title":"IEEE Trans Fuzzy Syst"},{"key":"2513_CR22","doi-asserted-by":"crossref","first-page":"208","DOI":"10.1016\/j.ins.2016.03.039","volume":"355\u2013356","author":"D Martin","year":"2016","unstructured":"Martin D, Fdez JA, Rosete A, Herrera F (2016) NICGAR: a niching genetic algorithm to mine a diverse set of interesting quantitative association rules. Inf Sci 355\u2013356:208\u2013228","journal-title":"Inf Sci"},{"key":"2513_CR23","doi-asserted-by":"crossref","first-page":"42","DOI":"10.1016\/j.ins.2015.07.061","volume":"328","author":"M Gonz\u00e1lez","year":"2016","unstructured":"Gonz\u00e1lez M, Bergmeir C, Triguero I, Rodr\u00edguez Y, Ben\u00edtez JM (2016) On the stopping criteria for k-nearest neighbor in positive unlabeled time series classification problems. Inf Sci 328:42\u201359","journal-title":"Inf Sci"},{"key":"2513_CR24","doi-asserted-by":"crossref","first-page":"418","DOI":"10.1016\/j.ins.2015.08.051","volume":"328","author":"JA Morente-Molinera","year":"2016","unstructured":"Morente-Molinera JA, P\u00e9rez IJ, Ure\u00f1a MR, Herrera-Viedma E (2016) Creating knowledge databases for storing and sharing people knowledge automatically using group decision making and fuzzy ontologies. Inf Sci 328:418\u2013434","journal-title":"Inf Sci"},{"key":"2513_CR25","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.dss.2016.01.002","volume":"84","author":"Y Dong","year":"2016","unstructured":"Dong Y, Zhang H, Herrera-Viedma E (2016) Integrating experts\u2019 weights generated dynamically into the consensus reaching process and its applications in managing non-cooperative behaviors. Decis Support Syst 84:1\u201315","journal-title":"Decis Support Syst"},{"issue":"1","key":"2513_CR26","doi-asserted-by":"crossref","first-page":"69","DOI":"10.1080\/18756891.2016.1180820","volume":"9","author":"A Fernandez","year":"2016","unstructured":"Fernandez A, Carmona CJ, del Jesus MJ, Herrera F (2016) A view on fuzzy systems for big data: progress and opportunities. Int J Comput Intell Syst 9(1):69\u201380","journal-title":"Int J Comput Intell Syst"},{"key":"2513_CR27","doi-asserted-by":"crossref","first-page":"40","DOI":"10.1016\/j.inffus.2016.03.002","volume":"32","author":"D Peralta","year":"2016","unstructured":"Peralta D, Triguero I, Garc\u00eda S, Herrera F, Ben\u00edtez JM (2016) DPD\u2013DFF: a dual phase distributed scheme with double fingerprint fusion for fast and accurate identification in large databases. Inf Fusion 32:40\u201351","journal-title":"Inf Fusion"},{"key":"2513_CR28","doi-asserted-by":"crossref","first-page":"178","DOI":"10.1016\/j.ins.2016.02.056","volume":"354","author":"M Galar","year":"2016","unstructured":"Galar M, Fernandez A, Barrenechea E, Bustince H, Herrera F (2016) Ordering-based pruning for improving the performance of ensembles of classifiers in the framework of imbalanced datasets. Inf Sci 354:178\u2013196","journal-title":"Inf Sci"},{"key":"2513_CR29","doi-asserted-by":"crossref","first-page":"226","DOI":"10.1016\/j.engappai.2016.01.037","volume":"50","author":"M Lozano","year":"2016","unstructured":"Lozano M, Rodriguez FJ, Peralta D, Garc\u00eda-Mart\u00ednez C (2016) Randomized greedy multi-start algorithm for the minimum common integer partition problem. Eng Appl Artif Intell 50:226\u2013235","journal-title":"Eng Appl Artif Intell"},{"issue":"10","key":"2513_CR30","doi-asserted-by":"crossref","first-page":"1536","DOI":"10.1093\/bioinformatics\/btw016","volume":"32","author":"RG Cavalcante","year":"2016","unstructured":"Cavalcante RG, Patil S, Weymouth TE, Bendinskas KG, Karnovsky A, Maureen A (2016) Sartor ConceptMetab: exploring relationships among metabolite sets to identify links among biomedical concepts. Bioinformatics 32(10):1536\u20131543","journal-title":"Bioinformatics"},{"issue":"10","key":"2513_CR31","doi-asserted-by":"crossref","first-page":"1562","DOI":"10.1093\/bioinformatics\/btw038","volume":"32","author":"JG Dom\u00ednguez","year":"2016","unstructured":"Dom\u00ednguez JG, Schmidt B (2016) ParDRe: faster parallel duplicated reads removal tool for sequencing studies. Bioinformatics 32(10):1562\u20131564","journal-title":"Bioinformatics"},{"issue":"10","key":"2513_CR32","doi-asserted-by":"crossref","first-page":"1568","DOI":"10.1093\/bioinformatics\/btw020","volume":"32","author":"MR Machado","year":"2016","unstructured":"Machado MR, Pantano S (2016) SIRAH tools: mapping, backmapping and visualization of coarse-grained models. Bioinformatics 32(10):1568\u20131570","journal-title":"Bioinformatics"},{"issue":"10","key":"2513_CR33","doi-asserted-by":"crossref","first-page":"1568","DOI":"10.1093\/bioinformatics\/btv763","volume":"32","author":"KM Burkett","year":"2016","unstructured":"Burkett KM, McNeney B, Graham J (2016) Sampletrees and Rsampletrees: sampling gene genealogies conditional on SNP genotype data. Bioinformatics 32(10):1568\u20131570","journal-title":"Bioinformatics"},{"issue":"10","key":"2513_CR34","doi-asserted-by":"crossref","first-page":"1595","DOI":"10.1093\/bioinformatics\/btw017","volume":"32","author":"Y Liu","year":"2016","unstructured":"Liu Y, Zhao M (2016) lnCaNet: pan-cancer co-expression network for human lncRNA and cancer genes. Bioinformatics 32(10):1595\u20131597","journal-title":"Bioinformatics"},{"issue":"10","key":"2513_CR35","doi-asserted-by":"crossref","first-page":"1598","DOI":"10.1093\/bioinformatics\/btw043","volume":"32","author":"MJ Meyer","year":"2016","unstructured":"Meyer MJ, Geske P, Yu H (2016) BISQUE: locus- and variant-specific conversion of genomic, transcriptomic and proteomic database identifiers. Bioinformatics 32(10):1598\u20132000","journal-title":"Bioinformatics"},{"issue":"5","key":"2513_CR36","first-page":"51","volume":"17","author":"Y Lyu","year":"2016","unstructured":"Lyu Y, Li Q (2016) A semi-parametric statistical model for integrating gene expression profiles across different platforms. BMC Bioinf 17(5):51","journal-title":"BMC Bioinf"},{"issue":"5","key":"2513_CR37","doi-asserted-by":"crossref","first-page":"E359","DOI":"10.1002\/ijc.29210","volume":"136","author":"J Ferlay","year":"2014","unstructured":"Ferlay J, Soerjomataram I, Dikshit R, Eser S, Mathers C, Rebelo M et al (2014) Cancer incidence and mortality worldwide: sources, methods and major patterns in GLOBOCAN 2012. Int J Cancer 136(5):E359\u2013E386","journal-title":"Int J Cancer"},{"key":"2513_CR38","doi-asserted-by":"crossref","first-page":"250","DOI":"10.1016\/j.ins.2015.11.043","volume":"334\u2013335","author":"A Sancho-Asensio","year":"2016","unstructured":"Sancho-Asensio A, Orriols-Puig A, Casillas J (2016) Evolving association streams. Inf Sci 334\u2013335:250\u2013272","journal-title":"Inf Sci"},{"key":"2513_CR39","doi-asserted-by":"crossref","first-page":"26","DOI":"10.1016\/j.neucom.2014.11.086","volume":"176","author":"JA S\u00e1ez","year":"2016","unstructured":"S\u00e1ez JA, Luengo J, Herrera F (2016) Evaluating the classifier behavior with noisy data considering performance and robustness: the equalized loss of accuracy measure. Neurocomputing 176:26\u201335","journal-title":"Neurocomputing"},{"key":"2513_CR40","doi-asserted-by":"crossref","first-page":"134","DOI":"10.1016\/j.engappai.2015.10.009","volume":"48","author":"E Ramentol","year":"2016","unstructured":"Ramentol E, Gondres I, Lajes S, Bello R, Caballero Y, Cornelis C, Herrera F (2016) Fuzzy-rough imbalanced learning for the diagnosis of high voltage circuit breaker maintenance: the SMOTE-FRST-2T algorithm. Eng Appl Artif Intell 48:134\u2013139","journal-title":"Eng Appl Artif Intell"},{"issue":"1","key":"2513_CR41","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1002\/widm.1173","volume":"6","author":"S Ram\u00edrez-Gallego","year":"2016","unstructured":"Ram\u00edrez-Gallego S, Garc\u00eda S, Mouri\u00f1o-Tal\u00edn H, Mart\u00ednez-Rego D, Bol\u00f3n-Canedo V, Alonso-Betanzos A, Ben\u00edtez JM, Herrera F (2016) Data discretization: taxonomy and big data challenge.\u00a0Wiley interdisciplinary reviews. Data Min Knowl Disc 6(1):5\u201321","journal-title":"Data Min Knowl Disc"},{"key":"2513_CR42","doi-asserted-by":"crossref","first-page":"179","DOI":"10.1111\/j.1469-1809.1936.tb02137.x","volume":"7","author":"RA Fisher","year":"1936","unstructured":"Fisher RA (1936) The use of multiple measurements in taxonomic problems. Ann Eugen 7:179\u2013188","journal-title":"Ann Eugen"},{"key":"2513_CR43","doi-asserted-by":"crossref","first-page":"10","DOI":"10.1016\/j.asoc.2015.09.006","volume":"38","author":"N Verbiest","year":"2016","unstructured":"Verbiest N, Derrac J, Cornelis C, Garc\u00eda S, Herrera F (2016) Evolutionary wrapper approaches for training set selection as preprocessing mechanism for support vector machines: experimental evaluation and support vector analysis. Appl Soft Comput 38:10\u201322","journal-title":"Appl Soft Comput"},{"issue":"1","key":"2513_CR44","doi-asserted-by":"crossref","first-page":"106","DOI":"10.1016\/j.ins.2011.07.044","volume":"183","author":"A Wu","year":"2012","unstructured":"Wu A, Wen S, Zeng Z (2012) Synchronization control of a class of memristor-based recurrent neural networks. Inf Sci 183(1):106\u2013116","journal-title":"Inf Sci"},{"issue":"2","key":"2513_CR45","doi-asserted-by":"crossref","first-page":"373","DOI":"10.1016\/j.cnsns.2012.07.005","volume":"18","author":"A Wu","year":"2013","unstructured":"Wu A, Zeng Z (2013) Anti-synchronization control of a class of memristive recurrent neural networks. Commun Nonlinear Sci Numer Simul 18(2):373\u2013385","journal-title":"Commun Nonlinear Sci Numer Simul"},{"key":"2513_CR46","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.neunet.2014.03.009","volume":"55","author":"G Zhang","year":"2014","unstructured":"Zhang G, Shen Y (2014) Exponential synchronization of delayed memristor-based chaotic neural networks via periodically intermittent control. Neural Netw 55:1\u201310","journal-title":"Neural Netw"},{"key":"2513_CR47","doi-asserted-by":"crossref","first-page":"149","DOI":"10.1016\/j.neucom.2012.05.002","volume":"97","author":"G Zhang","year":"2012","unstructured":"Zhang G, Shen Y, Sun J (2012) Global exponential stability of a class of memristor-based recurrent neural networks with time-varying delays. Neurocomputing 97:149\u2013154","journal-title":"Neurocomputing"},{"key":"2513_CR48","doi-asserted-by":"crossref","first-page":"386","DOI":"10.1016\/j.ins.2012.11.023","volume":"232","author":"G Zhang","year":"2013","unstructured":"Zhang G, Shen Y, Yin Q, Sun J (2013) Global exponential periodicity and stability of a class of memristor-based recurrent neural networks with multiple delays. Inf Sci 232:386\u2013396","journal-title":"Inf Sci"},{"key":"2513_CR49","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.neunet.2013.04.001","volume":"46","author":"G Zhang","year":"2013","unstructured":"Zhang G, Shen Y, Wang L (2013) Global anti-synchronization of a class of chaotic memristive neural networks with time-varying delays. Neural Netw 46:1\u20138","journal-title":"Neural Netw"},{"issue":"10","key":"2513_CR50","doi-asserted-by":"crossref","first-page":"1701","DOI":"10.1109\/TNNLS.2013.2264106","volume":"24","author":"G Zhang","year":"2013","unstructured":"Zhang G, Shen Y (2013) New algebraic criteria for synchronization stability of chaotic memristive neural networks with time-varying delays. IEEE Trans Neural Netw Learn Syst 24(10):1701\u20131707","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"2513_CR51","doi-asserted-by":"crossref","first-page":"233","DOI":"10.1016\/j.neucom.2012.06.014","volume":"97","author":"S Wen","year":"2012","unstructured":"Wen S, Zeng Z, Huang T (2012) Exponential stability analysis of memristor-based recurrent neural networks with time-varying delays. Neurocomputing 97:233\u2013240","journal-title":"Neurocomputing"},{"key":"2513_CR52","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.neunet.2013.11.016","volume":"51","author":"J Chen","year":"2014","unstructured":"Chen J, Zeng Z, Jiang P (2014) Global Mittag\u2013Leffler stability and synchronization of memristor-based fractional-order neural networks. Neural Netw 51:1\u20138","journal-title":"Neural Netw"},{"issue":"8","key":"2513_CR53","doi-asserted-by":"crossref","first-page":"1707","DOI":"10.1007\/s00521-013-1383-1","volume":"24","author":"X Wang","year":"2014","unstructured":"Wang X, Li C, Huang T, Duan S (2014) Global exponential stability of a class of memristive neural networks with time-varying delays. Neural Comput Appl 24(8):1707\u20131715","journal-title":"Neural Comput Appl"},{"key":"2513_CR54","doi-asserted-by":"crossref","first-page":"158","DOI":"10.1016\/j.neunet.2013.08.002","volume":"48","author":"Z Guo","year":"2013","unstructured":"Guo Z, Wang J, Yan Z (2013) Global exponential dissipativity and stabilization of memristor-based recurrent neural networks with time-varying delays. Neural Netw 48:158\u2013172","journal-title":"Neural Netw"},{"issue":"4","key":"2513_CR55","doi-asserted-by":"crossref","first-page":"704","DOI":"10.1109\/TNNLS.2013.2280556","volume":"25","author":"Z Guo","year":"2014","unstructured":"Guo Z, Wang J, Yan Z (2014) Attractivity analysis of memristor-based cellular neural networks with time-varying delays. IEEE Trans Neural Netw Learn Syst 25(4):704\u2013717","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"issue":"1","key":"2513_CR56","doi-asserted-by":"crossref","first-page":"013140","DOI":"10.1063\/1.4794794","volume":"23","author":"J Sun","year":"2013","unstructured":"Sun J, Shen Y, Yin Q, Xu C (2013) Compound synchronization of four memristor chaotic oscillator systems and secure communication. Chaos 23(1):013140","journal-title":"Chaos"},{"issue":"3","key":"2513_CR57","doi-asserted-by":"crossref","first-page":"030510","DOI":"10.1088\/1674-1056\/19\/3\/030510","volume":"19","author":"B Bo-Cheng","year":"2010","unstructured":"Bo-Cheng B, Zhong L, Jian-Ping X (2010) Transient chaos in smooth memristor oscillator. Chin Phys B 19(3):030510","journal-title":"Chin Phys B"},{"issue":"10","key":"2513_CR58","doi-asserted-by":"crossref","first-page":"1257","DOI":"10.1109\/81.956024","volume":"48","author":"CW Wu","year":"2001","unstructured":"Wu CW (2001) Synchronization in arrays of coupled nonlinear systems: passivity, circle criterion, and observer design. IEEE Trans Circuits Syst I Fundam Theory Appl 48(10):1257\u20131261","journal-title":"IEEE Trans Circuits Syst I Fundam Theory Appl"},{"key":"2513_CR59","doi-asserted-by":"crossref","first-page":"255","DOI":"10.1016\/j.rser.2014.01.033","volume":"32","author":"Y Zhang","year":"2014","unstructured":"Zhang Y, Wang J, Wang X (2014) Review on probabilistic forecasting of wind power generation. Renew Sustain Energy Rev 32:255\u2013270","journal-title":"Renew Sustain Energy Rev"},{"issue":"9","key":"2513_CR60","doi-asserted-by":"crossref","first-page":"2123","DOI":"10.1109\/TNNLS.2014.2376696","volume":"26","author":"H Quan","year":"2015","unstructured":"Quan H, Srinivasan D, Khosravi A (2015) Incorporating wind power forecast uncertainties into stochastic unit commitment using neural network-based prediction intervals. IEEE Trans Neural Netw Learn Syst 26(9):2123\u20132135","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"issue":"10","key":"2513_CR61","doi-asserted-by":"crossref","first-page":"2222","DOI":"10.1109\/TNNLS.2014.2359471","volume":"26","author":"Y Yuan","year":"2015","unstructured":"Yuan Y, Mou L, Lu X (2015) Scene recognition by manifold regularized deep learning architecture. IEEE Trans Neural Netw Learn Syst 26(10):2222\u20132233","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"issue":"10","key":"2513_CR62","doi-asserted-by":"crossref","first-page":"2336","DOI":"10.1109\/TNNLS.2014.2380451","volume":"26","author":"W Zhang","year":"2015","unstructured":"Zhang W, Tang Y, Wong WK, Miao Q (2015) Stochastic stability of delayed neural networks with local impulsive effects. IEEE Trans Neural Netw Learn Syst 26(10):2336\u20132345","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"issue":"10","key":"2513_CR63","doi-asserted-by":"crossref","first-page":"2477","DOI":"10.1109\/TNNLS.2014.2387439","volume":"26","author":"C Chang","year":"2015","unstructured":"Chang C (2015) Deep and shallow architecture of multilayer neural networks. IEEE Trans Neural Netw Learn Syst 26(10):2477\u20132486","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"issue":"1","key":"2513_CR64","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1109\/21.259681","volume":"24","author":"JB Yang","year":"1994","unstructured":"Yang JB, Singh MG (1994) An evidential reasoning approach for multiple attribute decision making with uncertainty. IEEE Trans Syst Man Cybern 24(1):1\u201318","journal-title":"IEEE Trans Syst Man Cybern"},{"issue":"10","key":"2513_CR65","doi-asserted-by":"crossref","first-page":"1458","DOI":"10.1109\/21.310529","volume":"24","author":"JB Yang","year":"1994","unstructured":"Yang JB, Sen P (1994) A general multi-level evaluation process for hybrid MADM with uncertainty. IEEE Trans Syst Man Cybern 24(10):1458\u20131473","journal-title":"IEEE Trans Syst Man Cybern"},{"issue":"1","key":"2513_CR66","doi-asserted-by":"crossref","first-page":"31","DOI":"10.1016\/S0377-2217(99)00441-5","volume":"131","author":"JB Yang","year":"2001","unstructured":"Yang JB (2001) Rule and utility based evidential reasoning approach for multi-attribute decision analysis under uncertainties. Eur J Oper Res 131(1):31\u201361","journal-title":"Eur J Oper Res"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00521-016-2513-3\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-016-2513-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-016-2513-3","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-016-2513-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2018,2,2]],"date-time":"2018-02-02T10:42:00Z","timestamp":1517568120000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00521-016-2513-3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,8,2]]},"references-count":66,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2018,2]]}},"alternative-id":["2513"],"URL":"https:\/\/doi.org\/10.1007\/s00521-016-2513-3","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"value":"0941-0643","type":"print"},{"value":"1433-3058","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016,8,2]]}}}