{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T02:38:41Z","timestamp":1743043121980,"version":"3.40.3"},"publisher-location":"Cham","reference-count":24,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030202569"},{"type":"electronic","value":"9783030202576"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"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":[[2019]]},"DOI":"10.1007\/978-3-030-20257-6_18","type":"book-chapter","created":{"date-parts":[[2019,5,14]],"date-time":"2019-05-14T02:39:49Z","timestamp":1557801589000},"page":"208-220","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Pruning Extreme Wavelets Learning Machine by Automatic Relevance Determination"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7343-5844","authenticated-orcid":false,"given":"Paulo V.","family":"de Campos Souza","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1845-5252","authenticated-orcid":false,"given":"Vinicius J. Silva","family":"Araujo","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9836-232X","authenticated-orcid":false,"given":"Vanessa S.","family":"Araujo","sequence":"additional","affiliation":[]},{"given":"Lucas O.","family":"Batista","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1314-3441","authenticated-orcid":false,"given":"Augusto J.","family":"Guimaraes","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,5,15]]},"reference":[{"issue":"16","key":"18_CR1","doi-asserted-by":"publisher","first-page":"12340","DOI":"10.1016\/j.eswa.2012.04.012","volume":"39","author":"E Avci","year":"2012","unstructured":"Avci, E., Coteli, R.: A new automatic target recognition system based on wavelet extreme learning machine. Expert Syst. Appl. 39(16), 12340\u201312348 (2012)","journal-title":"Expert Syst. Appl."},{"key":"18_CR2","unstructured":"Bache, K., Lichman, M.: UCI machine learning repository (2013)"},{"key":"18_CR3","doi-asserted-by":"publisher","unstructured":"de Campos Souza, P.V., Araujo, V.S., Guimaraes, A.J., Araujo, V.J.S., Rezende, T.S.: Method of pruning the hidden layer of the extreme learning machine based on correlation coefficient. In: 2018 IEEE Latin American Conference on Computational Intelligence (LA-CCI), pp. 1\u20136, November 2018. \n                    https:\/\/doi.org\/10.1109\/LA-CCI.2018.8625247","DOI":"10.1109\/LA-CCI.2018.8625247"},{"issue":"7\u20139","key":"18_CR4","doi-asserted-by":"publisher","first-page":"1405","DOI":"10.1016\/j.neucom.2009.12.007","volume":"73","author":"J Cao","year":"2010","unstructured":"Cao, J., Lin, Z., Huang, G.B.: Composite function wavelet neural networks with extreme learning machine. Neurocomputing 73(7\u20139), 1405\u20131416 (2010)","journal-title":"Neurocomputing"},{"issue":"2","key":"18_CR5","doi-asserted-by":"publisher","first-page":"149","DOI":"10.1007\/s13042-011-0049-5","volume":"3","author":"BP Chacko","year":"2012","unstructured":"Chacko, B.P., Krishnan, V.V., Raju, G., Anto, P.B.: Handwritten character recognition using wavelet energy and extreme learning machine. Int. J. Mach. Learn. Cybern. 3(2), 149\u2013161 (2012)","journal-title":"Int. J. Mach. Learn. Cybern."},{"issue":"5","key":"18_CR6","doi-asserted-by":"publisher","first-page":"961","DOI":"10.1109\/18.57199","volume":"36","author":"I Daubechies","year":"1990","unstructured":"Daubechies, I.: The wavelet transform, time-frequency localization and signal analysis. IEEE Trans. Inf. Theory 36(5), 961\u20131005 (1990)","journal-title":"IEEE Trans. Inf. Theory"},{"issue":"5","key":"18_CR7","doi-asserted-by":"publisher","first-page":"1211","DOI":"10.1007\/s00477-016-1265-z","volume":"31","author":"RC Deo","year":"2017","unstructured":"Deo, R.C., Tiwari, M.K., Adamowski, J.F., Quilty, J.M.: Forecasting effective drought index using a wavelet extreme learning machine (W-ELM) model. Stochast. Environ. Res. Risk Assess. 31(5), 1211\u20131240 (2017)","journal-title":"Stochast. Environ. Res. Risk Assess."},{"issue":"4","key":"18_CR8","doi-asserted-by":"publisher","first-page":"1033","DOI":"10.1007\/s00521-015-1918-8","volume":"27","author":"S Ding","year":"2016","unstructured":"Ding, S., Zhang, J., Xu, X., Zhang, Y.: A wavelet extreme learning machine. Neural Comput. Appl. 27(4), 1033\u20131040 (2016)","journal-title":"Neural Comput. Appl."},{"issue":"2","key":"18_CR9","doi-asserted-by":"publisher","first-page":"205","DOI":"10.1137\/0702016","volume":"2","author":"G Golub","year":"1965","unstructured":"Golub, G., Kahan, W.: Calculating the singular values and pseudo-inverse of a matrix. J. Soc. Ind. Appl. Math. Ser. B: Numer. Anal. 2(2), 205\u2013224 (1965)","journal-title":"J. Soc. Ind. Appl. Math. Ser. B: Numer. Anal."},{"issue":"1\u20133","key":"18_CR10","doi-asserted-by":"publisher","first-page":"489","DOI":"10.1016\/j.neucom.2005.12.126","volume":"70","author":"GB Huang","year":"2006","unstructured":"Huang, G.B., Zhu, Q.Y., Siew, C.K.: Extreme learning machine: theory and applications. Neurocomputing 70(1\u20133), 489\u2013501 (2006)","journal-title":"Neurocomputing"},{"key":"18_CR11","doi-asserted-by":"publisher","first-page":"299","DOI":"10.1016\/j.neucom.2013.07.021","volume":"123","author":"K Javed","year":"2014","unstructured":"Javed, K., Gouriveau, R., Zerhouni, N.: SW-ELM: a summation wavelet extreme learning machine algorithm with a priori parameter initialization. Neurocomputing 123, 299\u2013307 (2014)","journal-title":"Neurocomputing"},{"issue":"4","key":"18_CR12","first-page":"111","volume":"1","author":"B Karlik","year":"2011","unstructured":"Karlik, B., Olgac, A.V.: Performance analysis of various activation functions in generalized MLP architectures of neural networks. Int. J. Artif. Intell. Expert Syst. 1(4), 111\u2013122 (2011)","journal-title":"Int. J. Artif. Intell. Expert Syst."},{"issue":"4","key":"18_CR13","doi-asserted-by":"publisher","first-page":"3051","DOI":"10.1007\/s10586-017-0985-2","volume":"20","author":"Y Kuang","year":"2017","unstructured":"Kuang, Y., Wu, Q., Shao, J., Wu, J., Wu, X.: Extreme learning machine classification method for lower limb movement recognition. Cluster Comput. 20(4), 3051\u20133059 (2017)","journal-title":"Cluster Comput."},{"issue":"12","key":"18_CR14","doi-asserted-by":"publisher","first-page":"2441","DOI":"10.1007\/s11431-014-5712-0","volume":"57","author":"B Li","year":"2014","unstructured":"Li, B., Cheng, C.: Monthly discharge forecasting using wavelet neural networks with extreme learning machine. Sci. China Technol. Sci. 57(12), 2441\u20132452 (2014)","journal-title":"Sci. China Technol. Sci."},{"key":"18_CR15","doi-asserted-by":"crossref","unstructured":"Li, R., Wang, X., Lei, L., Song, Y.: \n                    \n                      \n                    \n                    $$l\\_\\{21\\}$$\n                  -norm based loss function and regularization extreme learning machine. IEEE Access 7, 6575\u20136586 (2019)","DOI":"10.1109\/ACCESS.2018.2887260"},{"key":"18_CR16","unstructured":"Maas, A.L., Hannun, A.Y., Ng, A.Y.: Rectifier nonlinearities improve neural network acoustic models. In: Proceedings of ICML, vol. 30, p. 3 (2013)"},{"issue":"17","key":"18_CR17","doi-asserted-by":"publisher","first-page":"3716","DOI":"10.1016\/j.neucom.2011.06.013","volume":"74","author":"JM Mart\u00ednez-Mart\u00ednez","year":"2011","unstructured":"Mart\u00ednez-Mart\u00ednez, J.M., Escandell-Montero, P., Soria-Olivas, E., Mart\u00edn-Guerrero, J.D., Magdalena-Benedito, R., G\u00f3mez-Sanchis, J.: Regularized extreme learning machine for regression problems. Neurocomputing 74(17), 3716\u20133721 (2011)","journal-title":"Neurocomputing"},{"issue":"8","key":"18_CR18","doi-asserted-by":"publisher","first-page":"e0134254","DOI":"10.1371\/journal.pone.0134254","volume":"10","author":"Mark D. McDonnell","year":"2015","unstructured":"McDonnell, M.D., Tissera, M.D., Vladusich, T., Van Schaik, A., Tapson, J.: Fast, simple and accurate handwritten digit classification by training shallow neural network classifiers with the \u2018extreme learning machine\u2019 algorithm. PLoS ONE 10(8), e0134254 (2015)","journal-title":"PLOS ONE"},{"issue":"1","key":"18_CR19","doi-asserted-by":"publisher","first-page":"158","DOI":"10.1109\/TNN.2009.2036259","volume":"21","author":"Y Miche","year":"2010","unstructured":"Miche, Y., Sorjamaa, A., Bas, P., Simula, O., Jutten, C., Lendasse, A.: OP-ELM: optimally pruned extreme learning machine. IEEE Trans. Neural Netw. 21(1), 158\u2013162 (2010)","journal-title":"IEEE Trans. Neural Netw."},{"key":"18_CR20","unstructured":"Neal, R.M.: Bayesian Learning for Neural Networks, vol. 118. Springer, Heidelberg (2012)"},{"issue":"1\u20132","key":"18_CR21","doi-asserted-by":"publisher","first-page":"133","DOI":"10.3109\/03602538409015060","volume":"15","author":"CC Peck","year":"1984","unstructured":"Peck, C.C., Sheiner, L.B., Nichols, A.I.: The problem of choosing weights in nonlinear regression analysis of pharmacokinetic data. Drug Metab. Rev. 15(1\u20132), 133\u2013148 (1984)","journal-title":"Drug Metab. Rev."},{"key":"18_CR22","unstructured":"Pinto, D., Lemos, A.P., Braga, A.P., Horizonte, B., Gerais-Brazil, M.: An affinity matrix approach for structure selection of extreme learning machines. In: Proceedings, p. 343. Presses universitaires de Louvain (2015)"},{"key":"18_CR23","unstructured":"Wipf, D.P., Nagarajan, S.S.: A new view of automatic relevance determination. In: Platt, J.C., Koller, D., Singer, Y., Roweis, S.T. (eds.) Advances in Neural Information Processing Systems 20, pp. 1625\u20131632. Curran Associates, Inc. (2008). \n                    http:\/\/papers.nips.cc\/paper\/3372-a-new-view-of-automatic-relevance-determination.pdf"},{"key":"18_CR24","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"272","DOI":"10.1007\/978-3-319-23989-7_28","volume-title":"Intelligence Science and Big Data Engineering. Image and Video Data Engineering","author":"Y Zeng","year":"2015","unstructured":"Zeng, Y., Xu, X., Fang, Y., Zhao, K.: Traffic sign recognition using deep convolutional networks and extreme learning machine. In: He, X., et al. (eds.) IScIDE 2015. LNCS, vol. 9242, pp. 272\u2013280. Springer, Cham (2015). \n                    https:\/\/doi.org\/10.1007\/978-3-319-23989-7_28"}],"container-title":["Communications in Computer and Information Science","Engineering Applications of Neural Networks"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-20257-6_18","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,10,28]],"date-time":"2019-10-28T10:57:54Z","timestamp":1572260274000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-20257-6_18"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030202569","9783030202576"],"references-count":24,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-20257-6_18","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"15 May 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"EANN","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Engineering Applications of Neural Networks","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Xersonisos","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Greece","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"24 May 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26 May 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"eann2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.eann2019.eu\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}