{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,9]],"date-time":"2024-09-09T04:31:59Z","timestamp":1725856319315},"publisher-location":"Cham","reference-count":20,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319322278"},{"type":"electronic","value":"9783319322292"}],"license":[{"start":{"date-parts":[[2016,1,1]],"date-time":"2016-01-01T00:00:00Z","timestamp":1451606400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016]]},"DOI":"10.1007\/978-3-319-32229-2_13","type":"book-chapter","created":{"date-parts":[[2016,5,25]],"date-time":"2016-05-25T05:49:49Z","timestamp":1464155389000},"page":"171-184","source":"Crossref","is-referenced-by-count":1,"title":["A Neural Network with a Learning Vector Quantization Algorithm for Multiclass Classification Using a Modular Approach"],"prefix":"10.1007","author":[{"given":"Jonathan","family":"Amezcua","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Patricia","family":"Melin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Oscar","family":"Castillo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2016,5,26]]},"reference":[{"key":"13_CR1","unstructured":"Pang-Ning, T., Steinbach, M., Kumar, V.: Introduction to Data Mining, pp. 145\u2013148. Pearson Addison Wesley, Boston (2006)"},{"key":"13_CR2","unstructured":"MIT-BIH Arrhythmia Database.: PhysioBank, Physiologic Signal Archives for Biomedical Research. Site: http:\/\/www.physionet.org\/physiobank\/database\/mitdb\/ . Last accessed 15 Oct 2012"},{"key":"13_CR3","unstructured":"UCI Letter Recognition Database.: Site: http:\/\/archive.ics.uci.edu\/ml\/datasets\/Letter+Recognition . Last accessed 15 Oct 2012"},{"key":"13_CR4","unstructured":"UCI Statlog Vehicle Silhouettes Database.: Site: http:\/\/archive.ics.uci.edu\/ml\/datasets\/Statlog+(Vehicle+Silhouettes ). Last accessed 15 Oct 2012"},{"key":"13_CR5","unstructured":"Freeman, J.A., Skapura, D.: Neural Networks. Algorithms, Applications and Programming Techniques, p. 306. Addison-Wesley, Boston (1993)"},{"key":"13_CR6","doi-asserted-by":"crossref","unstructured":"Fern\u00e1ndez, F., Herv\u00e1s-Mart\u00ednez, C., Ruiz, R., Riquelme, J.: Evolutionary generalized radial basis function neural networks for improving prediction accuracy in gene classification using feature selection. Appl. Soft Comput. 1787\u20131800 (2012)","DOI":"10.1016\/j.asoc.2012.01.008"},{"key":"13_CR7","doi-asserted-by":"crossref","unstructured":"Janeela, T., Raj, V.J.: Fuzzy based genetic neural networks for the classification of murder cases using Trapezoidal and Lagrange Interpolation Membership Functions. Appl. Soft Comput. 743\u2013754 (2013)","DOI":"10.1016\/j.asoc.2012.08.025"},{"key":"13_CR8","doi-asserted-by":"crossref","unstructured":"Zadeh, A.E., Moussavi, E.: Classification of communications signals using an advanced technique. Appl. Soft Comput. 428\u2013435 (2011)","DOI":"10.1016\/j.asoc.2009.12.001"},{"key":"13_CR9","unstructured":"Zhigang, Z., Jun, W.: Advances in Neural Network Research and Applications. Springer\u00a9, Berlin, pp. 283\u2013371 (2010)"},{"key":"13_CR10","doi-asserted-by":"crossref","unstructured":"S\u00e1nchez, D., Melin, P.: Modular neural network with fuzzy integration and its optimization using genetic algorithms for human recognition based on Iris, ear and voice biometrics. In: Soft Computing for Recognition Based on Biometrics Studies in Computational Intelligence, pp. 85\u2013102, 1st edn. Springer, Berlin (2010)","DOI":"10.1007\/978-3-642-15111-8_6"},{"key":"13_CR11","unstructured":"Rojas, R.: Neural Networks. A Systematic Introduction, Vol. 16, pp. 413-416. Springer, Berlin (1996)"},{"key":"13_CR12","doi-asserted-by":"crossref","unstructured":"Lee, T.: Structure Level Adaptation for Artificial Neural Networks. Kluwer Academic Publishers, Berlin (1991)","DOI":"10.1007\/978-1-4615-3954-4"},{"key":"13_CR13","first-page":"308","volume-title":"Neuro-fuzzy and Soft Computing","author":"J Jang","year":"1997","unstructured":"Jang, J., Sun, C., Mizutani, E.: Neuro-fuzzy and Soft Computing, pp. 308\u2013310. Prentice Hall, NJ (1997)"},{"key":"13_CR14","first-page":"145","volume":"1","author":"J Terrance","year":"1987","unstructured":"Terrance, J., Rosenberg, C.R.: Parallel networks that learns to pronounce english text. Complex Syst. 1, 145\u2013168 (1987)","journal-title":"Complex Syst."},{"key":"13_CR15","doi-asserted-by":"crossref","unstructured":"Jain, A., Kumar, A.: An evaluation of artificial neural network technique for the determination of infiltration model parameters. Appl. Soft Comput. 272\u2013282 (2006)","DOI":"10.1016\/j.asoc.2004.12.007"},{"key":"13_CR16","doi-asserted-by":"crossref","unstructured":"Rabu\u00f1al, J., Dorado, J.: Artificial Neural Networks in Real-Life Applications. IGP\u00a9, Hershey (2006)","DOI":"10.4018\/978-1-59140-902-1"},{"issue":"7\u20139","key":"13_CR17","doi-asserted-by":"crossref","first-page":"660","DOI":"10.1016\/j.neucom.2005.12.007","volume":"69","author":"M Biehl","year":"2006","unstructured":"Biehl, M., Ghosh, A., Hammer, B.: Learning vector quantization: the dynamics of winner-takes-all algorithms (Original Research Article). Neurocomputing 69(7\u20139), 660\u2013670 (2006)","journal-title":"Neurocomputing"},{"key":"13_CR18","doi-asserted-by":"crossref","unstructured":"Zadeh, A.E., Khazaee, A., Ranaee, V.: Classification of the electrocardiogram signals using supervised classifiers and efficient features. Comput. Methods Programs Biomed. 179\u2013194 (2010)","DOI":"10.1016\/j.cmpb.2010.04.013"},{"key":"13_CR19","doi-asserted-by":"crossref","unstructured":"Nejadgholi, I., Hasan, M., Abdolali, F.: Using phase space reconstruction for patient independent heartbeat classification in comparison with some benchmark methods. Comput. Biol. Med. 411\u2013419 (2011)","DOI":"10.1016\/j.compbiomed.2011.04.003"},{"key":"13_CR20","doi-asserted-by":"crossref","unstructured":"Osowski, S., Siwek, K., Siroic, R.: Neural system for heartbeats recognition using genetically integrated ensemble of classifiers. Comput. Biol. Med. pp. 173\u2013180 (2011)","DOI":"10.1016\/j.compbiomed.2011.01.008"}],"container-title":["Studies in Fuzziness and Soft Computing","Recent Developments and New Direction in Soft-Computing Foundations and Applications"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-32229-2_13","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,8]],"date-time":"2019-09-08T16:42:28Z","timestamp":1567960948000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-32229-2_13"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"ISBN":["9783319322278","9783319322292"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-32229-2_13","relation":{},"ISSN":["1434-9922","1860-0808"],"issn-type":[{"type":"print","value":"1434-9922"},{"type":"electronic","value":"1860-0808"}],"subject":[],"published":{"date-parts":[[2016]]}}}