{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T04:53:49Z","timestamp":1750308829211,"version":"3.41.0"},"publisher-location":"Cham","reference-count":18,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319590622"},{"type":"electronic","value":"9783319590639"}],"license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"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":[],"published-print":{"date-parts":[[2017]]},"DOI":"10.1007\/978-3-319-59063-9_14","type":"book-chapter","created":{"date-parts":[[2017,5,26]],"date-time":"2017-05-26T15:47:16Z","timestamp":1495813636000},"page":"154-164","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Improvement of RBF Training by Removing of Selected Pattern"],"prefix":"10.1007","author":[{"given":"Pawel","family":"Rozycki","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Janusz","family":"Kolbusz","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Oleksandr","family":"Lysenko","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bogdan M.","family":"Wilamowski","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2017,5,27]]},"reference":[{"key":"14_CR1","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, 533\u20136 (1986)","journal-title":"Nature"},{"key":"14_CR2","unstructured":"Fahlman, S.E., Lebiere, C.: The cascade-correlation learning architecture. In: Advances in Neural Information Processing Systems 2. pp. 524\u2013532. Morgan Kaufmann, San Mateo (1990)"},{"key":"14_CR3","doi-asserted-by":"crossref","unstructured":"Wilamowski, B.M., Bo, W., Korniak, J.: Big data and deep learning. In: 20th Jubilee IEEE International Conference on Intelligent Engineering Systems (INES 2016), 30 June\u2013July 2, pp. 11\u201316 (2016)","DOI":"10.1109\/INES.2016.7555103"},{"key":"14_CR4","unstructured":"Lang, K.L., Witbrock, M.J.: Learning to tell two spirals apart. In: Proceedings of the 1988 Connectionists Models Summer School. Morgan Kaufman (1998)"},{"key":"14_CR5","doi-asserted-by":"crossref","unstructured":"Wilamowski, B.M., Korniak, J.: Learning architectures with enhanced capabilities and easier training. In: 19th IEEE International Conference on Intelligent Engineering Systems (INES 2015), 03\u201305 September, pp. 21\u201329 (2015)","DOI":"10.1109\/INES.2015.7329714"},{"issue":"1","key":"14_CR6","doi-asserted-by":"publisher","first-page":"1127","DOI":"10.1561\/2200000006","volume":"2","author":"Y Bengio","year":"2009","unstructured":"Bengio, Y.: Learning deep architectures for AI. Found. Trends in Mach. Learn. 2(1), 1127 (2009)","journal-title":"Found. Trends in Mach. Learn."},{"key":"14_CR7","doi-asserted-by":"crossref","unstructured":"Ciresan, D.C., Meier, U., Gambardella, L.M., Schmidhuber, J.: Deep big simple neural nets excel on handwritten digit recognition. CoRR (2010)","DOI":"10.1162\/NECO_a_00052"},{"issue":"11","key":"14_CR8","doi-asserted-by":"publisher","first-page":"1793","DOI":"10.1109\/TNN.2010.2073482","volume":"21","author":"BM Wilamowski","year":"2010","unstructured":"Wilamowski, B.M., Yu, H.: Neural network learning without backpropagation. IEEE Trans. Neural Netw. 21(11), 1793\u201380 (2010)","journal-title":"IEEE Trans. Neural Netw."},{"key":"14_CR9","doi-asserted-by":"crossref","unstructured":"Werbo, P.J.: Back-propagation: past and future. In: Proceeding of International Conference on Neural Networks, San Diego, CA, vol. 1, pp. 343\u2013354 (1988)","DOI":"10.1109\/ICNN.1988.23866"},{"issue":"10","key":"14_CR10","doi-asserted-by":"publisher","first-page":"1793","DOI":"10.1109\/TNNLS.2013.2295813","volume":"25","author":"H Yu","year":"2014","unstructured":"Yu, H., Reiner, P., Xie, T., Bartczak, T., Wilamowski, B.M.: An incremental design of radial basis function networks. IEEE Trans. Neural Netw. Learn. Syst. 25(10), 1793\u201380 (2014)","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"key":"14_CR11","doi-asserted-by":"crossref","unstructured":"Nguyen, G.H., Bouzerdoum, A., Phung, S.L.: Efficient supervised learning with reduced training exemplars. In: 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence), Hong Kong, pp. 2981\u20132987 (2008)","DOI":"10.1109\/IJCNN.2008.4634217"},{"key":"14_CR12","unstructured":"Lozano, M.T.: Data reduction techniques in classification processes. Ph.D. Dissertation, Universitat Jaume I, Spain (2007)"},{"key":"14_CR13","doi-asserted-by":"crossref","unstructured":"Chouvatut, V., Jindaluang, W., Boonchieng, E.: Training set size reduction in large dataset problems. In: 2015 International Computer Science and Engineering Conference (ICSEC), Chiang Mai, pp. 1\u20135 (2015)","DOI":"10.1109\/ICSEC.2015.7401435"},{"key":"14_CR14","unstructured":"Kolbusz, J., Rozycki, P.: Outliers elimination for error correction algorithm improvement. In: CS&P Proceedings 24th International Workshop Concurrency, Specification & Programming, (CS & P 2015), vol. 2, pp. 120\u2013129 (2015)"},{"key":"14_CR15","unstructured":"Xie, T.: Growing and learning algorithms of radial basis function networks. Ph.D. Dissertation, Auburn University, USA (2013)"},{"issue":"10A","key":"14_CR16","doi-asserted-by":"publisher","first-page":"1552","DOI":"10.4236\/am.2012.330215","volume":"3","author":"J Dieterich","year":"2012","unstructured":"Dieterich, J., Hartke, B.: Empirical review of standard benchmark functions using evolutionary global optimization. Appl. Math. 3(10A), 1552\u201364 (2012)","journal-title":"Appl. Math."},{"key":"14_CR17","doi-asserted-by":"crossref","unstructured":"Wilamowski, B.M., Jaeger, R.C.: Implementation of RBF type networks by MLP networks. In: IEEE International Conference on Neural Networks (ICNN 96), pp. 1670\u20131675 (1996)","DOI":"10.1109\/ICNN.1996.549151"},{"key":"14_CR18","doi-asserted-by":"crossref","unstructured":"Wu, X., Wilamowski, B.M.: Advantage analysis of sigmoid based RBF networks. In: Proceedings of the 17th IEEE International Conference on Intelligent Engineering Systems (INES 13), pp. 243\u2013248 (2013)","DOI":"10.1109\/INES.2013.6632819"}],"container-title":["Lecture Notes in Computer Science","Artificial Intelligence and Soft Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-59063-9_14","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T20:31:12Z","timestamp":1750278672000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-59063-9_14"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319590622","9783319590639"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-59063-9_14","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2017]]},"assertion":[{"value":"27 May 2017","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICAISC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Artificial Intelligence and Soft Computing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Zakopane","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Poland","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2017","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11 June 2017","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 June 2017","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icaisc2017","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.icaisc.eu\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}