{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T09:02:03Z","timestamp":1777626123991,"version":"3.51.4"},"reference-count":18,"publisher":"Elsevier BV","issue":"9","license":[{"start":{"date-parts":[[1996,12,1]],"date-time":"1996-12-01T00:00:00Z","timestamp":849398400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Neural Networks"],"published-print":{"date-parts":[[1996,12]]},"DOI":"10.1016\/s0893-6080(96)00029-9","type":"journal-article","created":{"date-parts":[[2002,7,25]],"date-time":"2002-07-25T22:54:47Z","timestamp":1027637687000},"page":"1583-1596","source":"Crossref","is-referenced-by-count":52,"title":["Fast Second Order Learning Algorithm for Feedforward Multilayer Neural Networks and its Applications"],"prefix":"10.1016","volume":"9","author":[{"given":"Stanislaw","family":"Osowski","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Piotr","family":"Bojarczak","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Maciej","family":"Stodolski","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"78","reference":[{"key":"10.1016\/S0893-6080(96)00029-9_BIB1","unstructured":"Achenie, L.E. (1994). Computational experience with a quasi Newton method based training of the feedforward neural networks. Proc. World Congress on Neural Networks, San Diego, III607\u2013III612."},{"key":"10.1016\/S0893-6080(96)00029-9_BIB2","doi-asserted-by":"crossref","first-page":"141","DOI":"10.1162\/neco.1992.4.2.141","article-title":"First and second order methods for learning: between steepest descent and Newton methods","volume":"4","author":"Battiti","year":"1992","journal-title":"Neural Computation"},{"key":"10.1016\/S0893-6080(96)00029-9_BIB3","doi-asserted-by":"crossref","unstructured":"Battiti, R., & Masulli, F. (1990). BFGS optimization for faster and automated supervised learning. Proc. IEEE Int. NN Conf., Paris (pp. 757\u2013760).","DOI":"10.1007\/978-94-009-0643-3_68"},{"key":"10.1016\/S0893-6080(96)00029-9_BIB4","first-page":"301","article-title":"Conjugate gradient algorithm for efficient training of artificial neural networks","volume":"139","author":"Charalambous","year":"1992","journal-title":"IEEE Proc. G."},{"key":"10.1016\/S0893-6080(96)00029-9_BIB5","doi-asserted-by":"crossref","first-page":"351","DOI":"10.1016\/0893-6080(93)90003-F","article-title":"Initializing back propagation with prototypes","volume":"6","author":"Denoeux","year":"1993","journal-title":"Neural Networks"},{"key":"10.1016\/S0893-6080(96)00029-9_BIB6","unstructured":"Fahlman, S. (1988). Fast learning variations on backpropagation: an empirical study. Proc. 1988 Connectionist Models, Summer School (pp. 38\u201351)."},{"key":"10.1016\/S0893-6080(96)00029-9_BIB7","unstructured":"Gill, P., Murray, W., & Wright, M. (1981). Practical optimization. New York: Academic Press."},{"key":"10.1016\/S0893-6080(96)00029-9_BIB8","unstructured":"Jutten, C., Nguyen Thi, L., Dijkstra, E., Vittoz, E., & Caelen, J. (1991a). Blind separation of sources: algorithm for separation of convolutive mixtures. Proc. Int. Workshop on Higher Order Statistics, Chamrousse (pp. 273\u2013276)."},{"key":"10.1016\/S0893-6080(96)00029-9_BIB9","doi-asserted-by":"crossref","unstructured":"Jutten, C., Guerin, A., & Nguyen, Thi H. (1991b). Adaptive optimization of neural algorithms. In A. Prieto (Ed.). Artificial neural networks (pp. 54\u201361). Berlin: Springer Verlag.","DOI":"10.1007\/BFb0035877"},{"key":"10.1016\/S0893-6080(96)00029-9_BIB10","doi-asserted-by":"crossref","unstructured":"Karayiannis, N., & Venetsanopoulos, A. (1992). Fast learning algorithms for neural networks. IEEE Trans. CAS, 39, 453\u2013473.","DOI":"10.1109\/82.160170"},{"key":"10.1016\/S0893-6080(96)00029-9_BIB11","unstructured":"Levin, A. (1993). Predicting with feedforward networks. Proc. IEEE World Congress on Neural Networks. Portland (pp. III385\u2013III388)."},{"key":"10.1016\/S0893-6080(96)00029-9_BIB12","unstructured":"Li, X., Bodruzzaman, M., Kuah, K., Szu, H., & Telfer, B. (1993). Neural network based nonlinear deconvolution. Proc. IEEE World Congress on NN, Portland (pp. IV817\u2013IV824)."},{"key":"10.1016\/S0893-6080(96)00029-9_BIB13","doi-asserted-by":"crossref","unstructured":"Moeller, M.F. (1993). A scaled conjugate gradient algorithm for fast supervised learning. Neural Networks, 6, 525\u2013533; also internal memo of Computer Science Dept, University of Aarhus, Denmark, preprint PB-339.","DOI":"10.1016\/S0893-6080(05)80056-5"},{"key":"10.1016\/S0893-6080(96)00029-9_BIB14","doi-asserted-by":"crossref","first-page":"4","DOI":"10.1109\/72.80202","article-title":"Identification and control of dynamical systems by using neural networks","volume":"1","author":"Narendra","year":"1990","journal-title":"IEEE Trans. on Neural Networks"},{"key":"10.1016\/S0893-6080(96)00029-9_BIB15","doi-asserted-by":"crossref","first-page":"387","DOI":"10.1007\/BF00200336","article-title":"Signal flow graphs and neural networs","volume":"70","author":"Osowski","year":"1993","journal-title":"Biological Cybernetics"},{"key":"10.1016\/S0893-6080(96)00029-9_BIB16","unstructured":"Osowski, S. (1994). Fast learning algorithms for feedforward multilayer neural networks. Proc. IEEE 1994 IMACS Int. Symp. Signal Processing and Neural Networks, Lille (pp. 27\u201330)."},{"key":"10.1016\/S0893-6080(96)00029-9_BIB17","doi-asserted-by":"crossref","first-page":"365","DOI":"10.1016\/0893-6080(93)90004-G","article-title":"Speed up learning and network optimization with extended backpropagation","volume":"6","author":"Sperduti","year":"1993","journal-title":"Neural Networks"},{"key":"10.1016\/S0893-6080(96)00029-9_BIB18","unstructured":"Widrow, B., & Bilello, M. (1994). Nonlinear adaptive signal processing for inverse control. Proc. World Congress on Neural Networks, San Diego (pp. III3\u2013III13)."}],"container-title":["Neural Networks"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0893608096000299?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0893608096000299?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2020,1,29]],"date-time":"2020-01-29T00:42:49Z","timestamp":1580258569000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0893608096000299"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[1996,12]]},"references-count":18,"journal-issue":{"issue":"9","published-print":{"date-parts":[[1996,12]]}},"alternative-id":["S0893608096000299"],"URL":"https:\/\/doi.org\/10.1016\/s0893-6080(96)00029-9","relation":{},"ISSN":["0893-6080"],"issn-type":[{"value":"0893-6080","type":"print"}],"subject":[],"published":{"date-parts":[[1996,12]]}}}