{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,11]],"date-time":"2024-09-11T15:41:47Z","timestamp":1726069307829},"publisher-location":"Cham","reference-count":34,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030354442"},{"type":"electronic","value":"9783030354459"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-3-030-35445-9_42","type":"book-chapter","created":{"date-parts":[[2020,2,27]],"date-time":"2020-02-27T12:04:08Z","timestamp":1582805048000},"page":"615-628","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Comparing Evolutionary Artificial Neural Networks from Second and Third Generations for Solving Supervised Classification Problems"],"prefix":"10.1007","author":[{"given":"G.","family":"L\u00f3pez-V\u00e1zquez","sequence":"first","affiliation":[]},{"given":"A.","family":"Espinal","sequence":"additional","affiliation":[]},{"given":"Manuel","family":"Ornelas-Rodr\u00edguez","sequence":"additional","affiliation":[]},{"given":"J. A.","family":"Soria-Alcaraz","sequence":"additional","affiliation":[]},{"given":"A.","family":"Rojas-Dom\u00ednguez","sequence":"additional","affiliation":[]},{"given":"H\u00e9ctor","family":"Puga","sequence":"additional","affiliation":[]},{"given":"J. Mart\u00edn","family":"Carpio","sequence":"additional","affiliation":[]},{"given":"H.","family":"Rostro-Gonz\u00e1lez","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,2,28]]},"reference":[{"issue":"2","key":"42_CR1","doi-asserted-by":"publisher","first-page":"111","DOI":"10.1016\/0166-218X(92)00184-N","volume":"52","author":"E Amaldi","year":"1994","unstructured":"Amaldi, E., Mayoraz, E., de Werra, D.: A review of combinatorial problems arising in feedforward neural network design. Discrete Appl. Math. 52(2), 111\u2013138 (1994)","journal-title":"Discrete Appl. Math."},{"key":"42_CR2","unstructured":"Belatreche, A., Maguire, L.P., Mcginnity, M., Wu, Q.X.: An evolutionary strategy for supervised training of biologically plausible neural networks. In: Proceedings of the Sixth International Conference on Computational Intelligence and Natural Computing, pp. 1524\u20131527 (2003)"},{"issue":"3","key":"42_CR3","doi-asserted-by":"publisher","first-page":"239","DOI":"10.1007\/s00500-006-0065-7","volume":"11","author":"A Belatreche","year":"2007","unstructured":"Belatreche, A., Maguire, L.P., McGinnity, T.M.: Advances in design and application of spiking neural networks. Soft Comput. 11(3), 239\u2013248 (2007)","journal-title":"Soft Comput."},{"key":"42_CR4","unstructured":"Dheeru, D., Karra\u00a0Taniskidou, E.: UCI Machine Learning Repository (2017)"},{"issue":"3","key":"42_CR5","doi-asserted-by":"publisher","first-page":"251","DOI":"10.1007\/s10462-011-9270-6","volume":"39","author":"S Ding","year":"2013","unstructured":"Ding, S., Li, H., Su, C., Yu, J., Jin, F.: Evolutionary artificial neural networks: a review. Artif. Intell. Rev. 39(3), 251\u2013260 (2013)","journal-title":"Artif. Intell. Rev."},{"key":"42_CR6","doi-asserted-by":"crossref","unstructured":"Elfwing, S., Uchibe, E., Doya, K.: Sigmoid-weighted linear units for neural network function approximation in reinforcement learning. Neural Netw. (2018)","DOI":"10.1016\/j.neunet.2017.12.012"},{"issue":"5\u20136","key":"42_CR7","doi-asserted-by":"publisher","first-page":"535","DOI":"10.1142\/S0129065797000513","volume":"8","author":"D Elizondo","year":"1997","unstructured":"Elizondo, D., Fiesler, E.: A survey of partially connected neural networks. Int. J. Neural Syst. 8(5\u20136), 535\u2013558 (1997)","journal-title":"Int. J. Neural Syst."},{"key":"42_CR8","doi-asserted-by":"crossref","unstructured":"Espinal, A., Carpio, M., Ornelas, M., Puga, H., Melin, P., Sotelo-Figueroa, M.: Comparing metaheuristic algorithms on the training process of spiking neural networks. In: Recent Advances on Hybrid Approaches for Designing Intelligent Systems, pp. 391\u2013403. Springer (2014)","DOI":"10.1007\/978-3-319-05170-3_27"},{"key":"42_CR9","doi-asserted-by":"crossref","unstructured":"Espinal, A., Carpio, M., Ornelas, M., Puga, H., Mel\u00edn, P., Sotelo-Figueroa, M.: Developing architectures of spiking neural networks by using grammatical evolution based on evolutionary strategy. In: Mexican Conference on Pattern Recognition, pp. 71\u201380. Springer (2014)","DOI":"10.1007\/978-3-319-07491-7_8"},{"key":"42_CR10","doi-asserted-by":"crossref","unstructured":"Gerstner, W., Kistler, W.: Spiking Neuron Models: Single Neurons, Populations, Plasticity. Cambridge University Press (2002)","DOI":"10.1017\/CBO9780511815706"},{"issue":"04","key":"42_CR11","doi-asserted-by":"publisher","first-page":"295","DOI":"10.1142\/S0129065709002002","volume":"19","author":"S Ghosh-Dastidar","year":"2009","unstructured":"Ghosh-Dastidar, S., Adeli, H.: Spiking neural networks. Int. J. Neural Syst. 19(04), 295\u2013308 (2009)","journal-title":"Int. J. Neural Syst."},{"key":"42_CR12","unstructured":"Gnedenko, B.V., Kolmogorov, A.N.: Limit distributions for sums of independent random variables. In: Predelnye raspredeleniia dlia summ, No. ix, 264 p. Addison-Wesley Pub. Co., Cambridge, Mass (1954)"},{"issue":"4","key":"42_CR13","doi-asserted-by":"publisher","first-page":"500","DOI":"10.1113\/jphysiol.1952.sp004764","volume":"117","author":"AL Hodgkin","year":"1952","unstructured":"Hodgkin, A.L., Huxley, A.F.: A quantitative description of membrane current and its application to conduction and excitation in nerve. J. Physiol. 117(4), 500 (1952)","journal-title":"J. Physiol."},{"issue":"4","key":"42_CR14","doi-asserted-by":"publisher","first-page":"642","DOI":"10.1016\/j.neunet.2008.03.014","volume":"21","author":"AJ Ijspeert","year":"2008","unstructured":"Ijspeert, A.J.: Central pattern generators for locomotion control in animals and robots: a review. Neural Netw. 21(4), 642\u2013653 (2008)","journal-title":"Neural Netw."},{"issue":"3","key":"42_CR15","doi-asserted-by":"publisher","first-page":"177","DOI":"10.1016\/0885-064X(88)90019-2","volume":"4","author":"JS Judd","year":"1988","unstructured":"Judd, J.S.: On the complexity of loading shallow neural networks. J. Complex. 4(3), 177\u2013192 (1988)","journal-title":"J. Complex."},{"key":"42_CR16","doi-asserted-by":"crossref","unstructured":"Judd, J.S.: Neural Network Design and the Complexity of Learning. Neural Network Modeling and Connectionism Series. MIT Press, Cambridge, MA (1990)","DOI":"10.7551\/mitpress\/4932.001.0001"},{"key":"42_CR17","first-page":"620","volume":"9","author":"L Lapicque","year":"1907","unstructured":"Lapicque, L.: Recherches quantitatives sur l\u2019excitation electrique des nerfs traitee comme une polarization. Journal de Physiologie et de Pathologie Generalej 9, 620\u2013635 (1907)","journal-title":"Journal de Physiologie et de Pathologie Generalej"},{"issue":"9","key":"42_CR18","doi-asserted-by":"publisher","first-page":"1659","DOI":"10.1016\/S0893-6080(97)00011-7","volume":"10","author":"W Maass","year":"1997","unstructured":"Maass, W.: Networks of spiking neurons: the third generation of neural network models. Neural Netw. 10(9), 1659\u20131671 (1997)","journal-title":"Neural Netw."},{"issue":"1","key":"42_CR19","doi-asserted-by":"publisher","first-page":"26","DOI":"10.1006\/inco.1999.2806","volume":"153","author":"W Maass","year":"1999","unstructured":"Maass, W., Schmitt, M.: On the complexity of learning for spiking neurons with temporal coding. Inf. Comput. 153(1), 26\u201346 (1999)","journal-title":"Inf. Comput."},{"issue":"12","key":"42_CR20","doi-asserted-by":"publisher","first-page":"2499","DOI":"10.1016\/j.sigpro.2003.07.019","volume":"83","author":"M Markou","year":"2003","unstructured":"Markou, M., Singh, S.: Novelty detection: a review-part 2: neural network based approaches. Sig. Process. 83(12), 2499\u20132521 (2003)","journal-title":"Sig. Process."},{"issue":"4","key":"42_CR21","first-page":"115","volume":"5","author":"WS McCulloch","year":"1943","unstructured":"McCulloch, W.S., Pitts, W.: A logical calculus of the ideas immanent in nervous activity. Bull. Math. Biology 5(4), 115\u2013133 (1943)","journal-title":"Bull. Math. Biology"},{"key":"42_CR22","unstructured":"Montgomery, D.C.: Design and Analysis of Experiments (2013)"},{"key":"42_CR23","doi-asserted-by":"publisher","first-page":"97","DOI":"10.1016\/j.engappai.2017.01.013","volume":"60","author":"VK Ojha","year":"2017","unstructured":"Ojha, V.K., Abraham, A., Sn\u00e1\u0161el, V.: Metaheuristic design of feedforward neural networks: a review of two decades of research. Eng. Appl. Artif. Intell. 60, 97\u2013116 (2017)","journal-title":"Eng. Appl. Artif. Intell."},{"issue":"4","key":"42_CR24","doi-asserted-by":"publisher","first-page":"349","DOI":"10.1109\/4235.942529","volume":"5","author":"M O\u2019Neill","year":"2001","unstructured":"O\u2019Neill, M., Ryan, C.: Grammatical evolution. Trans. Evol. Comp. 5(4), 349\u2013358 (2001)","journal-title":"Trans. Evol. Comp."},{"key":"42_CR25","doi-asserted-by":"crossref","first-page":"99","DOI":"10.1007\/978-3-319-71008-2_9","volume":"749","author":"O Quiroz-Ram\u00edrez","year":"2018","unstructured":"Quiroz-Ram\u00edrez, O., Espinal, A., Ornelas-Rodr\u00edguez, M., Rojas-Dom\u00ednguez, A., S\u00e1nchez, D., Puga-Soberanes, H., Carpio, M., Espinoza, L.E.M., Ort\u00edz-L\u00f3pez, J.: Partially-connected artificial neural networks developed by grammatical evolution for pattern recognition problems. Stud. Comput. Intell. 749, 99\u2013112 (2018)","journal-title":"Stud. Comput. Intell."},{"key":"42_CR26","unstructured":"Rosenblatt, E.: The Perceptron, A Perceiving And Recognizing Automaton (Project PARA). Cornell Aeronautical Laboratory (1957)"},{"issue":"6088","key":"42_CR27","doi-asserted-by":"publisher","first-page":"533","DOI":"10.1038\/323533a0","volume":"323","author":"DE Rumelhart","year":"1986","unstructured":"Rumelhart, D.E., Hinton, G.E., Williams, R.J.: Learning representations by back-propagating errors. Nature 323(6088), 533 (1986)","journal-title":"Nature"},{"key":"42_CR28","first-page":"83","volume-title":"Lecture Notes in Computer Science","author":"Conor Ryan","year":"1998","unstructured":"Ryan, C., Collins, J., O\u2019Neill, M.: Grammatical evolution: evolving programs for an arbitrary language. In: Proceedings of Genetic Programming: First European Workshop. EuroGP\u201998, Paris, France, 14\u201315 April 1998, pp. 83\u201396. Springer, Berlin, Heidelberg (1998)"},{"issue":"1","key":"42_CR29","doi-asserted-by":"publisher","first-page":"15","DOI":"10.1016\/S0893-6080(97)00097-X","volume":"11","author":"F Scarselli","year":"1998","unstructured":"Scarselli, F., Tsoi, A.C.: Universal approximation using feedforward neural networks: a survey of some existing methods, and some new results. Neural Netw. 11(1), 15\u201337 (1998)","journal-title":"Neural Netw."},{"issue":"3\u20134","key":"42_CR30","doi-asserted-by":"publisher","first-page":"591","DOI":"10.1093\/biomet\/52.3-4.591","volume":"52","author":"SS Shapiro","year":"1965","unstructured":"Shapiro, S.S., Wilk, M.B.: An analysis of variance test for normality (complete samples). Biometrika 52(3\u20134), 591\u2013611 (1965)","journal-title":"Biometrika"},{"key":"42_CR31","doi-asserted-by":"crossref","unstructured":"Talbi, E.-G.: Metaheuristics: from Design to Implementation. Wiley, Hoboken, NJ, (2009). OCLC: ocn230183356","DOI":"10.1002\/9780470496916"},{"issue":"9","key":"42_CR32","doi-asserted-by":"publisher","first-page":"1423","DOI":"10.1109\/5.784219","volume":"87","author":"X Yao","year":"1999","unstructured":"Yao, X.: Evolving artificial neural networks. Proc. IEEE 87(9), 1423\u20131447 (1999)","journal-title":"Proc. IEEE"},{"key":"42_CR33","doi-asserted-by":"publisher","first-page":"441","DOI":"10.1109\/TNNLS.2013.2280596","volume":"3","author":"J Yu","year":"2014","unstructured":"Yu, J., Tan, M., Chen, J., Zhang, J.: A survey on CPG-inspired control models and system implementation. IEEE Trans. Neural Netw. Learning Syst. 3, 441\u2013456 (2014)","journal-title":"IEEE Trans. Neural Netw. Learning Syst."},{"issue":"4","key":"42_CR34","doi-asserted-by":"publisher","first-page":"451","DOI":"10.1109\/5326.897072","volume":"30","author":"G.P. Zhang","year":"2000","unstructured":"Zhang, G.P.: Neural networks for classification: a survey. IEEE Trans. Syst. Man Cybern. Part C Appl. Rev. 30(4), 451\u2013462 (2000)","journal-title":"IEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews)"}],"container-title":["Studies in Computational Intelligence","Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms: Theory and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-35445-9_42","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,10,16]],"date-time":"2022-10-16T19:11:02Z","timestamp":1665947462000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-35445-9_42"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030354442","9783030354459"],"references-count":34,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-35445-9_42","relation":{},"ISSN":["1860-949X","1860-9503"],"issn-type":[{"type":"print","value":"1860-949X"},{"type":"electronic","value":"1860-9503"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"28 February 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}