{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,1,8]],"date-time":"2025-01-08T22:40:32Z","timestamp":1736376032608,"version":"3.32.0"},"publisher-location":"Berlin, Heidelberg","reference-count":27,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540344391"},{"type":"electronic","value":"9783540344407"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2006]]},"DOI":"10.1007\/11759966_77","type":"book-chapter","created":{"date-parts":[[2006,5,9]],"date-time":"2006-05-09T23:36:58Z","timestamp":1147217818000},"page":"515-523","source":"Crossref","is-referenced-by-count":0,"title":["On H\u2009\u221e\u2009 Filtering in Feedforward Neural Networks Training and Pruning"],"prefix":"10.1007","author":[{"given":"He-Sheng","family":"Tang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Song-Tao","family":"Xue","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rong","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"77_CR1","doi-asserted-by":"crossref","first-page":"318","DOI":"10.7551\/mitpress\/5236.001.0001","volume-title":"Parallel Distributed Processing","author":"D. Rumelhart","year":"1986","unstructured":"Rumelhart, D., Hinton, G., Williams, G.: Learning Internal Representations by Error Propagation. In: Parallel Distributed Processing, vol.\u00a01, pp. 318\u2013362. MIT Press, Cambridge (1986)"},{"key":"77_CR2","doi-asserted-by":"publisher","first-page":"400","DOI":"10.1214\/aoms\/1177729586","volume":"22","author":"H. Robbins","year":"1951","unstructured":"Robbins, H., Monro, S.: A Stochastic Approximation Method. Ann. Math. Stat.\u00a022, 400\u2013407 (1951)","journal-title":"Ann. Math. Stat."},{"issue":"9","key":"77_CR3","doi-asserted-by":"publisher","first-page":"1583","DOI":"10.1016\/S0893-6080(96)00029-9","volume":"9","author":"O.S.P. Bojarczak","year":"1996","unstructured":"Bojarczak, O.S.P., Stodolski, M.: Fast Second-order Learning Algorithm for Feed-forward Multilayer Neural Networks and Its Application. Neural Networks\u00a09(9), 1583\u20131596 (1996)","journal-title":"Neural Networks"},{"key":"77_CR4","volume-title":"Neural Networks: A Comprehensive Foundation","author":"S. Haykin","year":"1999","unstructured":"Haykin, S.: Neural Networks: A Comprehensive Foundation. Prentice Hall, Inc., Englewood Cliffs (1999)"},{"key":"77_CR5","volume-title":"Optimal Filtering","author":"B.D.O. Anderson","year":"1979","unstructured":"Anderson, B.D.O., Moore, J.B.: Optimal Filtering. Prentice-Hall, Englewood Cliffs (1979)"},{"key":"77_CR6","first-page":"133","volume-title":"Advances in Neural Information Processing Systems","author":"S. Singhal","year":"1989","unstructured":"Singhal, S., Wu, L.: Training Multiplayer Perceptrons with the Extended Kalman Al-gorithm. In: Touretzky, D.S. (ed.) Advances in Neural Information Processing Systems, vol.\u00a01, pp. 133\u2013140. Morgan Kaufmann, San Mateo (1989)"},{"issue":"4","key":"77_CR7","doi-asserted-by":"publisher","first-page":"753","DOI":"10.1080\/00207729108910654","volume":"22","author":"W.K.T. Fukuda","year":"1991","unstructured":"Fukuda, W.K.T., Tzafestas, S.G.: Learning Algorithms of Layered Neural Networks via Extended Kalman Filters. Int. J. Syst. Sci.\u00a022(4), 753\u2013768 (1991)","journal-title":"Int. J. Syst. Sci."},{"issue":"4","key":"77_CR8","doi-asserted-by":"publisher","first-page":"959","DOI":"10.1109\/78.127966","volume":"40","author":"Y. Iiguni","year":"1992","unstructured":"Iiguni, Y., Sakai, H., Tokumaru, H.: A Real-time Learning Algorithm for a Multilay-ered Neural Network Based on the Extended Kalman Filter. IEEE Trans. Signal Processing\u00a040(4), 959\u2013966 (1992)","journal-title":"IEEE Trans. Signal Processing"},{"issue":"6","key":"77_CR9","doi-asserted-by":"publisher","first-page":"1215","DOI":"10.1080\/00207179008934127","volume":"51","author":"S. Chen","year":"1990","unstructured":"Chen, S., Cowan, C.F.N., Billings, S.A., Grant, P.M.: Parallel Recursive Prediction Error Algorithm for Training Layered Neural Network. Int. J. Contr.\u00a051(6), 1215\u20131228 (1990)","journal-title":"Int. J. Contr."},{"issue":"8","key":"77_CR10","doi-asserted-by":"publisher","first-page":"1092","DOI":"10.1109\/31.192419","volume":"36","author":"S. Kollias","year":"1989","unstructured":"Kollias, S., Anastassiou, D.: An Adaptive Least Squares Algorithm for the Efficient Training of Artificial Neural Networks. IEEE Trans. Circuits Syst.\u00a036(8), 1092\u20131101 (1989)","journal-title":"IEEE Trans. Circuits Syst."},{"issue":"23","key":"77_CR11","doi-asserted-by":"publisher","first-page":"2152","DOI":"10.1049\/el:19961443","volume":"32","author":"C.S. Leung","year":"1996","unstructured":"Leung, C.S., Wong, K.W., Sum, J., Chan., L.W.: On-line Training and Pruning for RLS Algorithms. Electron. Lett.\u00a032(23), 2152\u20132153 (1996)","journal-title":"Electron. Lett."},{"key":"77_CR12","doi-asserted-by":"crossref","unstructured":"Tang, H., Sato, T.: Structural Damage Detection Using the Neural Network and H\u221e Algorithm. In: Kundu, T. (ed.) Health Monitoring and Smart Nondestructive Evaluation of Structural and Biological Systems III, Proceedings of SPIE, San Diego, CA, vol.\u00a05394, pp. 454\u2013463 (2004)","DOI":"10.1117\/12.539511"},{"issue":"8","key":"77_CR13","doi-asserted-by":"publisher","first-page":"921","DOI":"10.1016\/S0098-3004(00)00131-X","volume":"27","author":"R.J. Abrahart","year":"2001","unstructured":"Abrahart, R.J., See, L., Kneal, P.E.: Investigating the Role of Saliency Analysis with Neural Network Rainfall-runoff Model. Computer & Geosciences\u00a027(8), 921\u2013928 (2001)","journal-title":"Computer & Geosciences"},{"issue":"4","key":"77_CR14","doi-asserted-by":"crossref","first-page":"415","DOI":"10.1016\/j.cageo.2004.10.005","volume":"31","author":"O. Makarynskyy","year":"2005","unstructured":"Makarynskyy, O., Pires-Silva, A.A., Makarynska, D., Ventura-Soares, C.: Artificial Neural Networks in Wave Predictions at the West Coast of Portual. Computers & Geo-sciences\u00a031(4), 415\u2013424 (2005)","journal-title":"Computers & Geo-sciences"},{"issue":"6","key":"77_CR15","doi-asserted-by":"publisher","first-page":"716","DOI":"10.1109\/TAC.1974.1100705","volume":"19","author":"H. Akaike","year":"1974","unstructured":"Akaike, H.: A New Look at the Statistical Model Identification. IEEE Trans. Automat. Control AC\u00a019(6), 716\u2013723 (1974)","journal-title":"IEEE Trans. Automat. Control AC"},{"issue":"1","key":"77_CR16","doi-asserted-by":"crossref","first-page":"44","DOI":"10.1111\/j.2517-6161.1977.tb01603.x","volume":"39","author":"M. Stone","year":"1977","unstructured":"Stone, M.: An Asymptotic Equivalence of Choice of Model by Cross-validation and Akaike\u2019s criterion. Roy. Stat. Soc. Ser.\u00a039(1), 44\u201347 (1977)","journal-title":"Roy. Stat. Soc. Ser."},{"key":"77_CR17","first-page":"950","volume-title":"Advances in Neural Information-Processing Systems","author":"A. Krogh","year":"1992","unstructured":"Krogh, A., Hertz, J.: A Simple Weight Decay Can Improve Generalization. In: Touretzky, D.S. (ed.) Advances in Neural Information-Processing Systems, vol.\u00a04, pp. 950\u2013957. Morgan Kaufmann, San Mateo (1992)"},{"issue":"1","key":"77_CR18","doi-asserted-by":"publisher","first-page":"117","DOI":"10.1162\/neco.1995.7.1.117","volume":"7","author":"P.M. William","year":"1995","unstructured":"William, P.M.: Bayesian Regularization and Pruning Use a Laplace Prior. Neural Comput.\u00a07(1), 117\u2013143 (1995)","journal-title":"Neural Comput."},{"key":"77_CR19","first-page":"396","volume-title":"Advances in neural information processing","author":"Y. LeCun","year":"1990","unstructured":"LeCun, Y., Denker, J.S., Solla, S.A.: Optimal Brain Damage. In: Touretzky, D.S. (ed.) Advances in neural information processing, vol.\u00a01, pp. 396\u2013404. Morgan Kaufman, San Mateo (1990)"},{"key":"77_CR20","first-page":"164","volume-title":"Advances in neu-ral information processing","author":"B. Hassibi","year":"1993","unstructured":"Hassibi, B., Stork, D.G.: Second-order Derivatives for Network Pruning: Optimal Brain Surgeon. In: Hanson, S.J., Cowan, J.D., Lee Giles, C. (eds.) Advances in neu-ral information processing, vol.\u00a04, pp. 164\u2013171. Morgan Kaufman, San Francisco (1993)"},{"issue":"1","key":"77_CR21","doi-asserted-by":"publisher","first-page":"161","DOI":"10.1109\/72.737502","volume":"10","author":"J. Sum","year":"1999","unstructured":"Sum, J., Leung, C., Young, G.H., Kan, W.: On the Kalman Filtering Method in Neural Network Training and Pruning. IEEE Trans. on Neural Networks\u00a010(1), 161\u2013166 (1999)","journal-title":"IEEE Trans. on Neural Networks"},{"issue":"2","key":"77_CR22","doi-asserted-by":"publisher","first-page":"147","DOI":"10.1016\/S0893-6080(00)00093-9","volume":"14","author":"C. Leung","year":"2001","unstructured":"Leung, C., Wong, K., Sum, P., Chan, L.: A Pruning Method for the Recursive Least Squared Algorithm. Neural Networks\u00a014(2), 147\u2013174 (2001)","journal-title":"Neural Networks"},{"issue":"3","key":"77_CR23","doi-asserted-by":"publisher","first-page":"457","DOI":"10.1016\/0893-6080(95)00123-9","volume":"9","author":"L. Prechelt","year":"1996","unstructured":"Prechelt, L.: A quantitative Study of Experimental Evaluations of Neural Network Learning Algorithms: Current Research Practice. Neural Networks\u00a09(3), 457\u2013462 (1996)","journal-title":"Neural Networks"},{"issue":"11","key":"77_CR24","doi-asserted-by":"publisher","first-page":"1233","DOI":"10.1061\/(ASCE)0733-9399(1998)124:11(1233)","volume":"124","author":"T. Sato","year":"1998","unstructured":"Sato, T., Qi, K.: Adaptive H\u221e fillter: Its Application to Structural Identification. Journal of Engineering Mechanics\u00a0124(11), 1233\u20131240 (1998)","journal-title":"Journal of Engineering Mechanics"},{"key":"77_CR25","volume-title":"Indefinite-Quadratic Estimation and Control: A Unified Approach to H2 and H\u221eTheories","author":"B. Hassibi","year":"1998","unstructured":"Hassibi, B., Sayed, A.H., Kailath, T.: Indefinite-Quadratic Estimation and Control: A Unified Approach to H2 and H\u221eTheories. SIAM, Philadelphia (1998)"},{"issue":"9","key":"77_CR26","doi-asserted-by":"publisher","first-page":"1227","DOI":"10.1016\/0005-1098(95)00073-6","volume":"31","author":"G. Didinsky","year":"1995","unstructured":"Didinsky, G., Pan, Z., Basar, T.: Parameter Identification of Uncertain Plants Using H\u221e Methods. Automatica\u00a031(9), 1227\u20131250 (1995)","journal-title":"Automatica"},{"issue":"EM2","key":"77_CR27","first-page":"249","volume":"102","author":"Y.-K. Wen","year":"1976","unstructured":"Wen, Y.-K.: Method for Random Vibration of Hysteretic Systems. Journal of Engineering Mechanics\u00a0102(EM2), 249\u2013263 (1976)","journal-title":"Journal of Engineering Mechanics"}],"container-title":["Lecture Notes in Computer Science","Advances in Neural Networks - ISNN 2006"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/11759966_77.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,8]],"date-time":"2025-01-08T22:16:39Z","timestamp":1736374599000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/11759966_77"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2006]]},"ISBN":["9783540344391","9783540344407"],"references-count":27,"URL":"https:\/\/doi.org\/10.1007\/11759966_77","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2006]]}}}