{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,5]],"date-time":"2024-09-05T20:55:23Z","timestamp":1725569723321},"publisher-location":"Berlin, Heidelberg","reference-count":14,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642175336"},{"type":"electronic","value":"9783642175343"}],"license":[{"start":{"date-parts":[[2010,1,1]],"date-time":"2010-01-01T00:00:00Z","timestamp":1262304000000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2010]]},"DOI":"10.1007\/978-3-642-17534-3_20","type":"book-chapter","created":{"date-parts":[[2010,11,12]],"date-time":"2010-11-12T03:51:22Z","timestamp":1289533882000},"page":"160-167","source":"Crossref","is-referenced-by-count":2,"title":["Generalization Error of Faulty MLPs with Weight Decay Regularizer"],"prefix":"10.1007","author":[{"given":"Chi Sing","family":"Leung","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"John","family":"Sum","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shue Kwan","family":"Mak","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"20_CR1","doi-asserted-by":"crossref","unstructured":"Moody, J.E.: Note on generalization, regularization, and architecture selection in nonlinear learning systems. In: Proc. First IEEE-SP Workshop on Neural Networks for Signal Processing, pp. 1\u201310 (September 1991)","DOI":"10.1109\/NNSP.1991.239541"},{"key":"20_CR2","first-page":"950","volume-title":"Advances in Neural Information Processing Systems 4,[Neural Information Processing Systems Conference]","author":"A. Krogh","year":"1992","unstructured":"Krogh, A., Hertz, J.A.: A simple weight decay can improve generalization. In: Advances in Neural Information Processing Systems 4,[Neural Information Processing Systems Conference], pp. 950\u2013957. Morgan Kaufmann, San Francisco (1992)"},{"issue":"6","key":"20_CR3","doi-asserted-by":"publisher","first-page":"1482","DOI":"10.1109\/72.809093","volume":"10","author":"C.S. Leung","year":"1999","unstructured":"Leung, C.S., Young, G.H., Sum, J., Kan, W.K.: On the regularization of forgetting recursive least square. IEEE Trans. Neural Netw.\u00a010(6), 1482\u20131486 (1999)","journal-title":"IEEE Trans. Neural Netw."},{"issue":"6","key":"20_CR4","doi-asserted-by":"publisher","first-page":"1314","DOI":"10.1109\/72.963768","volume":"12","author":"C.S. Leung","year":"2001","unstructured":"Leung, C.S., Tsoi, A., Chan, L.: Two regularizers for recursive least square algorithms in feedforward multilayered neural networks. IEEE Trans. Neural Netw.\u00a012(6), 1314\u20131332 (2001)","journal-title":"IEEE Trans. Neural Netw."},{"issue":"3","key":"20_CR5","doi-asserted-by":"publisher","first-page":"493","DOI":"10.1109\/TNN.2007.912320","volume":"19","author":"C.S. Leung","year":"2008","unstructured":"Leung, C.S., Sum, J.: \u2018A fault-tolerant regularizer for RBF networks. IEEE Trans. Neural Netw.\u00a019(3), 493\u2013507 (2008)","journal-title":"IEEE Trans. Neural Netw."},{"issue":"3-4","key":"20_CR6","doi-asserted-by":"publisher","first-page":"156","DOI":"10.1007\/s00521-003-0353-4","volume":"11","author":"Z.H. Zhou","year":"2003","unstructured":"Zhou, Z.H., Chen, S.F.: Evolving fault-tolerant neural networks. Neural Computing and Applications\u00a011(3-4), 156\u2013160 (2003)","journal-title":"Neural Computing and Applications"},{"issue":"2","key":"20_CR7","doi-asserted-by":"publisher","first-page":"446","DOI":"10.1109\/72.363479","volume":"6","author":"D.S. Phatak","year":"1995","unstructured":"Phatak, D.S., Koren, I.: Complete and partial fault tolerance of feedforward neural nets. IEEE Trans. Neural Netw.\u00a06(2), 446\u2013456 (1995)","journal-title":"IEEE Trans. Neural Netw."},{"key":"20_CR8","doi-asserted-by":"crossref","unstructured":"Chandra, P., Singh, Y.: Fault tolerance of feedforward artificial neural networks \u2013 a framework of study. In: Proceedings of the International Joint Conference on Neural Networks 2003, Portland, OR, vol.\u00a01, pp. 489\u2013494 (July 2003)","DOI":"10.1109\/IJCNN.2003.1223395"},{"issue":"12","key":"20_CR9","doi-asserted-by":"publisher","first-page":"2941","DOI":"10.1162\/089976600300014782","volume":"12","author":"J.L. Bernier","year":"2000","unstructured":"Bernier, J.L., Ortega, J., Ros, E., Rojas, I., Prieto, A.: A quantitative study of fault tolerance, noise immunity, and generalization ability of MLPs. Neural Comput.\u00a012(12), 2941\u20132964 (2000)","journal-title":"Neural Comput."},{"key":"20_CR10","doi-asserted-by":"publisher","first-page":"71","DOI":"10.1109\/ICCET.2009.201","volume-title":"Proceedings of the 2009 International Conference on Computer Engineering and Technology","author":"A. Ahmadi","year":"2009","unstructured":"Ahmadi, A., Fakhraie, S.M., Lucas, C.: Behavioral fault model for neural networks. In: Proceedings of the 2009 International Conference on Computer Engineering and Technology, pp. 71\u201375. IEEE Computer Society, Washington (January 2009)"},{"key":"20_CR11","unstructured":"Larsen, J.: Design of neural network filters. Ph.D. dissertation, Technical University of Denmark, Denmark (July 1993)"},{"key":"20_CR12","volume-title":"Theory of optimal experiments","author":"V.V. Fedorov","year":"1972","unstructured":"Fedorov, V.V.: Theory of optimal experiments. Academic Press, London (1972)"},{"key":"20_CR13","doi-asserted-by":"crossref","unstructured":"Chen, S.: Local regularization assisted orthogonal least squares regression. Neurocomputing, 559\u2013585 (2006)","DOI":"10.1016\/j.neucom.2004.12.011"},{"key":"20_CR14","doi-asserted-by":"publisher","first-page":"1389","DOI":"10.1016\/S0031-3203(98)00174-5","volume":"32","author":"S. Singh","year":"1999","unstructured":"Singh, S.: Noise impact on time-series forecasting using an intelligent pattern matching technique. Pattern Recognition\u00a032, 1389\u20131398 (1999)","journal-title":"Pattern Recognition"}],"container-title":["Lecture Notes in Computer Science","Neural Information Processing. Models and Applications"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-17534-3_20","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,3,22]],"date-time":"2019-03-22T03:43:39Z","timestamp":1553226219000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-17534-3_20"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2010]]},"ISBN":["9783642175336","9783642175343"],"references-count":14,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-17534-3_20","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2010]]}}}