{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,16]],"date-time":"2025-10-16T10:06:24Z","timestamp":1760609184010,"version":"3.37.3"},"reference-count":28,"publisher":"Springer Science and Business Media LLC","issue":"13","license":[{"start":{"date-parts":[[2019,8,1]],"date-time":"2019-08-01T00:00:00Z","timestamp":1564617600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2019,8,1]],"date-time":"2019-08-01T00:00:00Z","timestamp":1564617600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/100009473","name":"Universidad de M\u00e1laga","doi-asserted-by":"publisher","award":["TIN2017-88728-c2"],"award-info":[{"award-number":["TIN2017-88728-c2"]}],"id":[{"id":"10.13039\/100009473","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100010198","name":"Ministerio de Econom\u00eda, Industria y Competitividad, Gobierno de Espa\u00f1a","doi-asserted-by":"crossref","award":["tin2014-58516-C2-1-R"],"award-info":[{"award-number":["tin2014-58516-C2-1-R"]}],"id":[{"id":"10.13039\/501100010198","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Neural Comput & Applic"],"published-print":{"date-parts":[[2020,7]]},"DOI":"10.1007\/s00521-019-04388-2","type":"journal-article","created":{"date-parts":[[2019,8,1]],"date-time":"2019-08-01T08:02:46Z","timestamp":1564646566000},"page":"8955-8963","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Improving learning and generalization capabilities of the C-Mantec constructive neural network algorithm"],"prefix":"10.1007","volume":"32","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7400-7860","authenticated-orcid":false,"given":"Iv\u00e1n","family":"G\u00f3mez","sequence":"first","affiliation":[]},{"given":"H\u00e9ctor","family":"Mesa","sequence":"additional","affiliation":[]},{"given":"Francisco","family":"Ortega-Zamorano","sequence":"additional","affiliation":[]},{"given":"Jos\u00e9 M.","family":"Jerez-Aragon\u00e9s","sequence":"additional","affiliation":[]},{"given":"Leonardo","family":"Franco","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,8,1]]},"reference":[{"issue":"6","key":"4388_CR1","doi-asserted-by":"publisher","first-page":"855","DOI":"10.1016\/S0893-6080(05)80130-3","volume":"6","author":"M Arai","year":"1993","unstructured":"Arai M (1993) Bounds on the number of hidden units in binary-valued three-layer neural networks. Neural Netw 6(6):855\u2013860","journal-title":"Neural Netw"},{"issue":"3","key":"4388_CR2","first-page":"105","volume":"3","author":"MG Augasta","year":"2013","unstructured":"Augasta MG, Kathirvalavakumar T (2013) Pruning algorithms of neural networks\u2014a comparative study. Cent Eur J Comput Sci 3(3):105\u2013115","journal-title":"Cent Eur J Comput Sci"},{"issue":"3","key":"4388_CR3","first-page":"273","volume":"20","author":"C Cortes","year":"1995","unstructured":"Cortes C, Vapnik V (1995) Support-vector networks. Mach Learn 20(3):273\u2013297","journal-title":"Mach Learn"},{"issue":"1\u20133","key":"4388_CR4","doi-asserted-by":"publisher","first-page":"351","DOI":"10.1016\/j.neucom.2006.01.025","volume":"70","author":"L Franco","year":"2006","unstructured":"Franco L (2006) Generalization ability of boolean functions implemented in feedforward neural networks. Neurocomputing 70(1\u20133):351\u2013361","journal-title":"Neurocomputing"},{"key":"4388_CR5","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-04512-7","volume-title":"Constructive neural networks","author":"L Franco","year":"2009","unstructured":"Franco L, Elizondo DA, Jerez J (2009) Constructive neural networks, 1st edn. Springer, Berlin","edition":"1"},{"issue":"6","key":"4388_CR6","doi-asserted-by":"publisher","first-page":"946","DOI":"10.1162\/neco.1992.4.6.946","volume":"4","author":"MR Frean","year":"1992","unstructured":"Frean MR (1992) A \u201cthermal\u201d perceptron learning rule. Neural Comput 4(6):946\u2013957","journal-title":"Neural Comput"},{"issue":"2","key":"4388_CR7","doi-asserted-by":"publisher","first-page":"71","DOI":"10.1007\/s11063-009-9108-2","volume":"30","author":"I G\u00f3mez","year":"2009","unstructured":"G\u00f3mez I, Franco L, Jerez JM (2009) Neural network architecture selection: can function complexity help? Neural Process Lett 30(2):71\u201387","journal-title":"Neural Process Lett"},{"key":"4388_CR8","volume-title":"Machine learning for multimedia content analysis (multimedia systems and applications)","author":"Y Gong","year":"2007","unstructured":"Gong Y, Xu W (2007) Machine learning for multimedia content analysis (multimedia systems and applications). Springer, New York"},{"unstructured":"Judd S (1987) Learning in networks is hard. In: Proceedings of the first IEEE neural network conference (San Diego), pp. II\u2013685\u2013692","key":"4388_CR9"},{"issue":"3","key":"4388_CR10","doi-asserted-by":"publisher","first-page":"177","DOI":"10.1016\/0885-064X(88)90019-2","volume":"4","author":"S Judd","year":"1988","unstructured":"Judd S (1988) On the complexity of loading shallow neural networks. J Complex 4(3):177\u2013192","journal-title":"J Complex"},{"key":"4388_CR11","volume-title":"Introduction to combinatorial algorithms and boolean functions. Art of computer programming: newly available sections of the classic work\/Donald E. Knuth","author":"D Knuth","year":"2008","unstructured":"Knuth D (2008) Introduction to combinatorial algorithms and boolean functions. Art of computer programming: newly available sections of the classic work\/Donald E. Knuth. Addison-Wesley, Boston"},{"issue":"7553","key":"4388_CR12","doi-asserted-by":"publisher","first-page":"436","DOI":"10.1038\/nature14539","volume":"521","author":"Y LeCun","year":"2015","unstructured":"LeCun Y, Bengio Y, Hinton G (2015) Deep learning. Nature 521(7553):436\u2013444","journal-title":"Nature"},{"unstructured":"Lichman M (2013) UCI Machine Learning Repository. University of California, School of Information and Computer Science, Irvine, CA. \nhttp:\/\/archive.ics.uci.edu\/ml","key":"4388_CR13"},{"issue":"5","key":"4388_CR14","doi-asserted-by":"publisher","first-page":"661","DOI":"10.1109\/31.31313","volume":"36","author":"G Mirchandani","year":"1989","unstructured":"Mirchandani G, Cao W (1989) On hidden nodes for neural nets. IEEE Trans Circuits Syst 36(5):661\u2013664","journal-title":"IEEE Trans Circuits Syst"},{"unstructured":"Orozco-Duque A, R\u00faa\u00a0P\u00e9rez S, Zuluaga S, Redondo A, Restrepo J, Bustamante J (2013) Support vector machine and artificial neural network implementation in embedded systems for real time arrhythmias detection. In: BIOSIGNALS 2013\u2014proceedings of the international conference on bio-inspired systems and signal processing. pp 310\u2013313","key":"4388_CR15"},{"unstructured":"Ortega F (2015) C-mantec neural network algorithm implementation on matlab. \nhttps:\/\/github.com\/IvanGGomez\/CmantecPaco\n\n. Accessed 10 July 2019","key":"4388_CR16"},{"issue":"2","key":"4388_CR17","doi-asserted-by":"publisher","first-page":"1154","DOI":"10.1109\/TII.2013.2294137","volume":"10","author":"F Ortega","year":"2014","unstructured":"Ortega F, Jerez J, Franco L (2014) Fpga implementation of the c-mantec neural network constructive algorithm. IEEE Trans Ind Informatics 10(2):1154\u20131161","journal-title":"IEEE Trans Ind Informatics"},{"key":"4388_CR18","doi-asserted-by":"publisher","first-page":"179","DOI":"10.1016\/j.engappai.2014.01.006","volume":"30","author":"F Ortega-Zamorano","year":"2014","unstructured":"Ortega-Zamorano F, Jerez J, Subirats J, Molina I, Franco L (2014) Smart sensor\/actuator node reprogramming in changing environments using a neural network model. Eng Appl Artif Intell 30:179\u2013188","journal-title":"Eng Appl Artif Intell"},{"key":"4388_CR19","doi-asserted-by":"publisher","first-page":"1840","DOI":"10.1109\/TNNLS.2015.2460991","volume":"27","author":"F Ortega-Zamorano","year":"2016","unstructured":"Ortega-Zamorano F, Jerez JM, Urda D, Luque Baena RM, Franco L (2016) Efficient implementation of the backpropagation algorithm in fpgas and microcontrollers. IEEE Trans Neural Netw Learn Syst 27:1840\u20131850","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"4388_CR20","doi-asserted-by":"publisher","first-page":"899","DOI":"10.1007\/s11063-017-9655-x","volume":"46","author":"F Ortega-Zamorano","year":"2017","unstructured":"Ortega-Zamorano F, Jerez JM, Ju\u00e1rez GE, Franco L (2017) Fpga implementation of neurocomputational models: comparison between standard back-propagation and c-mantec constructive algorithm. Neural Process Lett 46:899\u2013914","journal-title":"Neural Process Lett"},{"key":"4388_CR21","doi-asserted-by":"publisher","first-page":"533","DOI":"10.1038\/323533a0","volume":"323","author":"DE Rumelhart","year":"1986","unstructured":"Rumelhart DE, Hinton GE, Williams RJ (1986) Learning representations by back-propagating errors. Nature 323:533\u2013536","journal-title":"Nature"},{"key":"4388_CR22","first-page":"231","volume":"7","author":"JL Subirats","year":"2008","unstructured":"Subirats JL, Franco L, Gomez I, Jerez JM (2008) Computational capabilities of feedforward neural networks: the role of the output function. Proc XII CAEPIA 7:231\u2013238","journal-title":"Proc XII CAEPIA"},{"issue":"4","key":"4388_CR23","doi-asserted-by":"publisher","first-page":"285","DOI":"10.1007\/s12559-010-9051-6","volume":"2","author":"JL Subirats","year":"2010","unstructured":"Subirats JL, Jerez JM, G\u00f3mez I, Franco L (2010) Multiclass pattern recognition extension for the new c-mantec constructive neural network algorithm. Cogn Comput 2(4):285\u2013290","journal-title":"Cogn Comput"},{"key":"4388_CR24","doi-asserted-by":"publisher","first-page":"130","DOI":"10.1016\/j.neunet.2011.10.003","volume":"26","author":"JL Subirats","year":"2012","unstructured":"Subirats JL, Franco L, Jerez JM (2012) C-mantec: a novel constructive neural network algorithm incorporating competition between neurons. Neural Netw 26:130\u2013140","journal-title":"Neural Netw"},{"key":"4388_CR25","first-page":"7561","volume":"8","author":"D Urda","year":"2012","unstructured":"Urda D, Ca\u00f1ete E, Subirats JL, Franco L, Llopis L, Jerez J (2012) Energy-efficient reprogramming in wsn using constructive neural networks. Int J Innov Comput Inf Control 8:7561\u20137578","journal-title":"Int J Innov Comput Inf Control"},{"doi-asserted-by":"crossref","unstructured":"Wang J, Yi Z, Zurada JM, Lu B-L, Yin H, Eds. (2006) Advances in neural networks\u2014ISNN 2006, third international symposium on neural networks, Chengdu, China, May 28-June 1, 2006, proceedings, part I, vol. 3971 of lecture notes in computer science. Springer","key":"4388_CR26","DOI":"10.1007\/11760191"},{"key":"4388_CR27","doi-asserted-by":"publisher","first-page":"57","DOI":"10.1016\/S0168-1699(03)00011-5","volume":"40","author":"HC Yuan","year":"2003","unstructured":"Yuan HC, Xiong FL, Huai XY (2003) A method for estimating the number of hidden neurons in feed-forward neural networks based on information entropy. Comput Electron Agric 40:57\u201364","journal-title":"Comput Electron Agric"},{"issue":"7","key":"4388_CR28","doi-asserted-by":"publisher","first-page":"995","DOI":"10.1016\/S0893-6080(03)00006-6","volume":"16","author":"Z Zhang","year":"2003","unstructured":"Zhang Z, Ma X, Yang Y (2003) Bounds on the number of hidden neurons in three-layer binary neural networks. Neural Netw 16(7):995\u20131002","journal-title":"Neural Netw"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-019-04388-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00521-019-04388-2\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-019-04388-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,7,31]],"date-time":"2020-07-31T00:01:42Z","timestamp":1596153702000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00521-019-04388-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,8,1]]},"references-count":28,"journal-issue":{"issue":"13","published-print":{"date-parts":[[2020,7]]}},"alternative-id":["4388"],"URL":"https:\/\/doi.org\/10.1007\/s00521-019-04388-2","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"type":"print","value":"0941-0643"},{"type":"electronic","value":"1433-3058"}],"subject":[],"published":{"date-parts":[[2019,8,1]]},"assertion":[{"value":"10 May 2018","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"24 July 2019","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"1 August 2019","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}