{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,26]],"date-time":"2025-10-26T14:11:43Z","timestamp":1761487903249},"publisher-location":"Berlin, Heidelberg","reference-count":18,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540679257"},{"type":"electronic","value":"9783540445333"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2000]]},"DOI":"10.1007\/3-540-44533-1_51","type":"book-chapter","created":{"date-parts":[[2007,8,15]],"date-time":"2007-08-15T16:48:10Z","timestamp":1187196490000},"page":"500-509","source":"Crossref","is-referenced-by-count":11,"title":["Pruned Neural Networks for Regression"],"prefix":"10.1007","author":[{"given":"Rudy","family":"Setiono","sequence":"first","affiliation":[]},{"given":"Wee Kheng","family":"Leow","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"issue":"4","key":"51_CR1","doi-asserted-by":"publisher","first-page":"365","DOI":"10.1080\/09540098908915647","volume":"1","author":"T. Ash","year":"1989","unstructured":"Ash, T. (1989) Dynamic node creation in backpropagation networks. Connection Science, 1(4), 365\u2013375.","journal-title":"Connection Science"},{"issue":"2","key":"51_CR2","doi-asserted-by":"publisher","first-page":"111","DOI":"10.1016\/0925-2312(94)E0053-T","volume":"7","author":"L.M. Belue","year":"1995","unstructured":"Belue, L.M. and Bauer, Jr. K.W. (1995) Determining input features for multilayer perceptrons. Neurocomputing, 7(2) 111\u2013121.","journal-title":"Neurocomputing"},{"key":"51_CR3","doi-asserted-by":"publisher","first-page":"303","DOI":"10.1007\/BF02551274","volume":"2","author":"G. Cybenko","year":"1989","unstructured":"Cybenko, G. (1989) Approximation by superpositions of a sigmoidal function. Mathematics of Control, Signals, and Systems, 2, 303\u2013314.","journal-title":"Mathematics of Control, Signals, and Systems"},{"key":"51_CR4","volume-title":"Numerical methods for unconstrained optimization and nonlinear equations. Englewood Cliffs","author":"J.E. Dennis Jr.","year":"1983","unstructured":"Dennis Jr. J.E. and Schnabel, R.E. (1983) Numerical methods for unconstrained optimization and nonlinear equations. Englewood Cliffs, New Jersey: Prentice Halls."},{"key":"51_CR5","series-title":"Working Paper","volume-title":"Native Bayes for regression","author":"E. Prank","year":"1998","unstructured":"Prank, E., Trigg, L., Holmes, G. and Witten, I.H. (1998) Native Bayes for regression. Working Paper 98\/15, Dept. of Computer Science, University of Waikato, New Zealand."},{"issue":"1","key":"51_CR6","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1109\/72.737488","volume":"10","author":"E. Gelenbe","year":"1999","unstructured":"Gelenbe, E., Mao, Z.-H., Li. Y.-D. (1999) Function approximation with spike random networks. IEEE Trans, on Neural Networks, 10(1), 3\u20139.","journal-title":"IEEE Trans, on Neural Networks"},{"key":"51_CR7","doi-asserted-by":"publisher","first-page":"251","DOI":"10.1016\/0893-6080(91)90009-T","volume":"4","author":"K. Hornik","year":"1991","unstructured":"Hornik, K. (1991) Approximation capabilities of multilayer feedforward networks. Neural Networks, 4, 251\u2013257.","journal-title":"Neural Networks"},{"issue":"3","key":"51_CR8","doi-asserted-by":"publisher","first-page":"630","DOI":"10.1109\/72.572102","volume":"8","author":"T.Y. Kwok","year":"1997","unstructured":"Kwok, T.Y. and Yeung, D.Y. (1997) Constructive algorithms for structure learning in feedforward neural IEEE Trans, on Neural Networks, 8(3),630\u2013645, May 1997.","journal-title":"IEEE Trans, on Neural Networks"},{"issue":"5","key":"51_CR9","doi-asserted-by":"publisher","first-page":"1131","DOI":"10.1109\/72.623214","volume":"8","author":"T.Y. Kwok","year":"1997","unstructured":"Kwok, T.Y. and Yeung, D.Y. (1997) Objective functions for training new hidden units in constructive neural networks. IEEE Trans, on Neural Networks, 8(5) 1131\u20131148.","journal-title":"IEEE Trans, on Neural Networks"},{"issue":"4","key":"51_CR10","doi-asserted-by":"publisher","first-page":"561","DOI":"10.1109\/5326.725342","volume":"28","author":"B. Mak","year":"1998","unstructured":"Mak, B. and Blanning, R.W. (1998) An empirical measure of element contribution in neural networks. IEEE Trans. on Systems, Man, and Cybernetics-Part C, 28(4) 561\u2013564.","journal-title":"IEEE Trans. on Systems, Man, and Cybernetics-Part C"},{"issue":"1","key":"51_CR11","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1080\/09540098908915626","volume":"1","author":"M.C. Mozer","year":"1989","unstructured":"Mozer, M.C. and Smolensky, P. (1989) Using relevance to reduce network size automatically. Connection Science, 1(1), 3\u201316.","journal-title":"Connection Science"},{"key":"51_CR12","unstructured":"Quinlan, R. (1992) Learning with continuous classes. In Proc. of the Australian Joint Conference on Artificial Intelligence, 343\u2013348, Singapore."},{"issue":"1","key":"51_CR13","doi-asserted-by":"publisher","first-page":"47","DOI":"10.1016\/0925-2312(95)00100-X","volume":"13","author":"J.M. Steppe","year":"1996","unstructured":"Steppe, J.M. and Bauer, Jr. K.W. (1996) Improved feature screening in feedforward neural networks. Neurocomputing, 13(1) 47\u201358.","journal-title":"Neurocomputing"},{"issue":"1","key":"51_CR14","doi-asserted-by":"publisher","first-page":"273","DOI":"10.1109\/72.363426","volume":"6","author":"R. Setiono","year":"1995","unstructured":"Setiono, R. and Hui, L.C.K. (1995) Use of a quasi-Newton method in a feedforward neural network construction algorithm. IEEE Trans. on Neural Networks, 6(1), 273\u2013277.","journal-title":"IEEE Trans. on Neural Networks"},{"issue":"3","key":"51_CR15","doi-asserted-by":"publisher","first-page":"654","DOI":"10.1109\/72.572104","volume":"8","author":"R. Setiono","year":"1997","unstructured":"Setiono, R. and Liu, H. (1997) Neural network feature selector. IEEE Trans. on Neural Networks, 8(3), 654\u2013662.","journal-title":"IEEE Trans. on Neural Networks"},{"issue":"2","key":"51_CR16","doi-asserted-by":"publisher","first-page":"177","DOI":"10.1016\/S0925-2312(96)00031-8","volume":"14","author":"J.M. Zurada","year":"1997","unstructured":"Zurada, J.M., Malinowski A. and Usui, S. (1997) Perturbation method for deleting redundant inputs of perceptron networks. Neurocomputing, 14(2) 177\u2013193.","journal-title":"Neurocomputing"},{"key":"51_CR17","volume-title":"Proc. of the Poster Papers of the European Conference on Machine Learning","author":"Y. Wang","year":"1997","unstructured":"Wang, Y. and Witten, I.H. (1997) Induction of model trees for predicting continuous classes. In Proc. of the Poster Papers of the European Conference on Machine Learning. Prague: University of Economics, Faculty of Informatics and Statistics."},{"key":"51_CR18","doi-asserted-by":"publisher","first-page":"497","DOI":"10.1016\/0167-9236(94)90021-3","volume":"11","author":"Y. Yoon","year":"1994","unstructured":"Yoon, Y., Guimaraes, T. and Swales, G. (1994) Integrating artificial neural networks with rule-based expert systems. Decision Support Systems, 11, 497\u2013507.","journal-title":"Decision Support Systems"}],"container-title":["Lecture Notes in Computer Science","PRICAI 2000 Topics in Artificial Intelligence"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/3-540-44533-1_51","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,2,21]],"date-time":"2019-02-21T16:54:08Z","timestamp":1550768048000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/3-540-44533-1_51"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2000]]},"ISBN":["9783540679257","9783540445333"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/3-540-44533-1_51","relation":{},"ISSN":["0302-9743"],"issn-type":[{"type":"print","value":"0302-9743"}],"subject":[],"published":{"date-parts":[[2000]]}}}