{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,13]],"date-time":"2025-10-13T19:48:17Z","timestamp":1760384897584},"publisher-location":"Berlin, Heidelberg","reference-count":28,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540886358"},{"type":"electronic","value":"9783540886365"}],"license":[{"start":{"date-parts":[[2008,1,1]],"date-time":"2008-01-01T00:00:00Z","timestamp":1199145600000},"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":[[2008]]},"DOI":"10.1007\/978-3-540-88636-5_2","type":"book-chapter","created":{"date-parts":[[2008,10,17]],"date-time":"2008-10-17T02:19:04Z","timestamp":1224209944000},"page":"12-33","source":"Crossref","is-referenced-by-count":9,"title":["Nonlinear\u00a0Bayesian\u00a0Filters for\u00a0Training\u00a0Recurrent\u00a0Neural\u00a0Networks"],"prefix":"10.1007","author":[{"given":"Ienkaran","family":"Arasaratnam","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Simon","family":"Haykin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"2_CR1","volume-title":"Optimal Filtering","author":"B.D.O. Anderson","year":"1979","unstructured":"Anderson, B.D.O., Moore, J.B.: Optimal Filtering. Prentice Hall, New Jersey (1979)"},{"unstructured":"Arasaratnam, I., Haykin, S.: Cubature Kalman Filters. IEEE Trans. Automatic Cont. (2008) (under 3rd review)","key":"2_CR2"},{"issue":"2","key":"2_CR3","doi-asserted-by":"publisher","first-page":"157","DOI":"10.1109\/72.279181","volume":"5","author":"Y. Bengio","year":"1994","unstructured":"Bengio, Y., Simard, P., Frasconi, P.: Learning Long-term Dependencies with Gradient Descent is Difficult. IEEE Trans. Neural Netw.\u00a05(2), 157\u2013166 (1994)","journal-title":"IEEE Trans. Neural Netw."},{"doi-asserted-by":"crossref","unstructured":"Cappe, O., Godsil, S.J., Moulines, E.: An Overview of Existing Methods and Recent Advances in Sequential Monte Carlo. Proc. IEEE\u00a095(5) (2007)","key":"2_CR4","DOI":"10.1109\/JPROC.2007.893250"},{"key":"2_CR5","first-page":"107","volume":"140","author":"N.J. Gordon","year":"1993","unstructured":"Gordon, N.J., Salmond, D.J., Smith, A.F.M.: Novel Approach to Nonlinear\/Non-Gaussian Bayesian State Estimation. IEE Proc. -F.\u00a0140, 107\u2013113 (1993)","journal-title":"IEE Proc. -F."},{"key":"2_CR6","first-page":"348","volume-title":"Neural inform. proces. sys.","author":"S.J. Hanson","year":"1988","unstructured":"Hanson, S.J., Burr, D.J.: Minkowski-r Back-Propagation: Learning in Connectionist Models with Non-Euclidian Error Signals. In: Anderson, D. (ed.) Neural inform. proces. sys., pp. 348\u2013357. American Inst. of Physics, NY (1988)"},{"issue":"2","key":"2_CR7","doi-asserted-by":"publisher","first-page":"526","DOI":"10.1109\/78.348134","volume":"43","author":"S. Haykin","year":"1995","unstructured":"Haykin, S., Li, L.: Nonlinear Adaptive Prediction of Nonstationary Signals. IEEE Trans. Signal Process\u00a043(2), 526\u2013535 (1995)","journal-title":"IEEE Trans. Signal Process"},{"key":"2_CR8","volume-title":"Neural Networks: A Comprehensive Foundation","author":"S. Haykin","year":"1999","unstructured":"Haykin, S.: Neural Networks: A Comprehensive Foundation. Prentice Hall, New Jersey (1999)"},{"volume-title":"Kalman Filtering and Neural Networks","year":"2001","unstructured":"Haykin, S. (ed.): Kalman Filtering and Neural Networks. Wiley, New York (2001)","key":"2_CR9"},{"key":"2_CR10","first-page":"472","volume":"45","author":"S.J. Julier","year":"2000","unstructured":"Julier, S.J., Ulhmann, J.K., Durrant-Whyte, H.F.: A New Method for Nonlinear Transformation of Means and Covariances in Filters and Estimators. IEEE Trans. Automatic Cont.\u00a045, 472\u2013482 (2000)","journal-title":"IEEE Trans. Automatic Cont."},{"issue":"11","key":"2_CR11","doi-asserted-by":"publisher","first-page":"2278","DOI":"10.1109\/5.726791","volume":"86","author":"Y. Lecun","year":"1998","unstructured":"Lecun, Y., Bottou, L., Bengio, Y., Haffner, P.: Gradient-Based Learning Applied to Document Recognition. Proc. IEEE\u00a086(11), 2278\u20132324 (1998)","journal-title":"Proc. IEEE"},{"key":"2_CR12","volume-title":"Monte Carlo Strategies in Scientific Computing","author":"J.S. Liu","year":"2001","unstructured":"Liu, J.S.: Monte Carlo Strategies in Scientific Computing. Springer, Heidelberg (2001)"},{"issue":"1","key":"2_CR13","doi-asserted-by":"publisher","first-page":"4","DOI":"10.1109\/72.80202","volume":"1","author":"K.S. Narendra","year":"1990","unstructured":"Narendra, K.S., Parthasarathy, K.: Identification and Control of Dynamical Systems Using Neural Networks. IEEE Trans. Neural Netw.\u00a01(1), 4\u201327 (1990)","journal-title":"IEEE Trans. Neural Netw."},{"key":"2_CR14","doi-asserted-by":"publisher","first-page":"1627","DOI":"10.1016\/S0005-1098(00)00089-3","volume":"36","author":"M.N. N\u00f8rgaard","year":"2000","unstructured":"N\u00f8rgaard, M.N., Poulsen, N.K., Ravn, O.: New Developments in State Estimation of Nonlinear Systems. Automatica\u00a036, 1627\u20131638 (2000)","journal-title":"Automatica"},{"key":"2_CR15","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511803260","volume-title":"Chaos in Dynamical Systems","author":"E. Ott","year":"2002","unstructured":"Ott, E.: Chaos in Dynamical Systems, 2nd edn. Cambridge Univ. Press, Cambridge (2002)","edition":"2"},{"key":"2_CR16","doi-asserted-by":"publisher","first-page":"239","DOI":"10.1016\/B978-0-08-025683-2.50013-2","volume-title":"Trends and progress in system identification","author":"V. Peterka","year":"1981","unstructured":"Peterka, V.: Bayesian Approach to System Identification. In: Eykhoff, P. (ed.) Trends and progress in system identification, pp. 239\u2013304. Pergamon Press, Oxford (1981)"},{"doi-asserted-by":"crossref","unstructured":"Pineda, F.: Generalization of Backpropagation to Recurrent Neural Networks. Physical Review Letters\u00a059(19) (1987)","key":"2_CR17","DOI":"10.1103\/PhysRevLett.59.2229"},{"unstructured":"Plumer, E.S.: Training Neural Networks Using Sequential Extened Kalman Filters. In: Proc. World Congress on Neural Netw., Washigton, DC, pp. I-764\u2013I-769 (1995)","key":"2_CR18"},{"issue":"6","key":"2_CR19","doi-asserted-by":"publisher","first-page":"1606","DOI":"10.1109\/TNN.2006.880580","volume":"17","author":"D. Prokhorov","year":"2006","unstructured":"Prokhorov, D.: Training Recurrent Neurocontrollers for Robustness with Derivative-Free Kalman Filter. IEEE Trans. Neural Netw.\u00a017(6), 1606\u20131616 (2006)","journal-title":"IEEE Trans. Neural Netw."},{"doi-asserted-by":"crossref","unstructured":"Puskorious, G., Feldkamp, L.: Neurocontrol of Nonlinear Dynamical Systems with Kalman Filter Trained Neural Networks. IEEE Trans. Neural Netw.\u00a05(2) (1994)","key":"2_CR20","DOI":"10.1109\/72.279191"},{"issue":"6","key":"2_CR21","doi-asserted-by":"publisher","first-page":"686","DOI":"10.1109\/34.141559","volume":"14","author":"D.W. Ruck","year":"1992","unstructured":"Ruck, D.W., Rogers, S.K., Kabrisky, M., Maybeck, P., Oxle, M.E.: Comparative Analysis of Backpropgation and the Extended Kalman Filter for Training Multilayer Perceptrons. IEEE Trans. Patt. Anal. & Mach. Intell.\u00a014(6), 686\u2013691 (1992)","journal-title":"IEEE Trans. Patt. Anal. & Mach. Intell."},{"key":"2_CR22","doi-asserted-by":"publisher","DOI":"10.1201\/9781420015454","volume-title":"Neural Network Control of Nonlinear Discrete-Time Systems","author":"J. Sarangapani","year":"2006","unstructured":"Sarangapani, J.: Neural Network Control of Nonlinear Discrete-Time Systems. CRC Press, Florida (2006)"},{"issue":"9","key":"2_CR23","doi-asserted-by":"publisher","first-page":"1605","DOI":"10.1088\/0305-4470\/32\/9\/009","volume":"32","author":"B. Schottky","year":"1999","unstructured":"Schottky, B., Saad, D.: Statistical Mechanics of EKF Learning in Neural Networks. J. Physics A\u00a032(9), 1605\u20131621 (1999)","journal-title":"J. Physics A"},{"issue":"5","key":"2_CR24","doi-asserted-by":"publisher","first-page":"779","DOI":"10.1016\/S0893-6080(05)80139-X","volume":"5","author":"S. Shah","year":"1992","unstructured":"Shah, S., Palmieri, F., Datum, M.: Optimal Filtering Algorithms for Fast Learning in Feedforward Neural Networks. Neural Net.\u00a05(5), 779\u2013787 (1992)","journal-title":"Neural Net."},{"doi-asserted-by":"crossref","unstructured":"Sum, J., Leung, C., Young, G.H., Kan, W.: On the Kalman Filtering Method in Neural Network Training and Pruning. IEEE Trans. Neural Netw.\u00a010(1) (1999)","key":"2_CR25","DOI":"10.1109\/72.737502"},{"issue":"1","key":"2_CR26","doi-asserted-by":"publisher","first-page":"204","DOI":"10.1109\/21.214778","volume":"23","author":"T. Yamada","year":"1993","unstructured":"Yamada, T., Yabuta, T.: Dynamic System Identification Using Neural Networks. IEEE Trans. Systems, Man and Cyber.\u00a023(1), 204\u2013211 (1993)","journal-title":"IEEE Trans. Systems, Man and Cyber."},{"issue":"10","key":"2_CR27","doi-asserted-by":"publisher","first-page":"1550","DOI":"10.1109\/5.58337","volume":"78","author":"P. Werbos","year":"1990","unstructured":"Werbos, P.: Backpropagation Through Time: What It Does and How to Do It. Proc. IEEE\u00a078(10), 1550\u20131560 (1990)","journal-title":"Proc. IEEE"},{"key":"2_CR28","volume-title":"Bayesian Forecasting and Dynamic Linear Models","author":"M. West","year":"1996","unstructured":"West, M., Harrison, J.: Bayesian Forecasting and Dynamic Linear Models. Springer, Heidelberg (1996)"}],"container-title":["Lecture Notes in Computer Science","MICAI 2008: Advances in Artificial Intelligence"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-540-88636-5_2","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,14]],"date-time":"2019-05-14T18:45:30Z","timestamp":1557859530000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-540-88636-5_2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2008]]},"ISBN":["9783540886358","9783540886365"],"references-count":28,"URL":"https:\/\/doi.org\/10.1007\/978-3-540-88636-5_2","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2008]]}}}