{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,9]],"date-time":"2026-05-09T14:37:30Z","timestamp":1778337450924,"version":"3.51.4"},"reference-count":29,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"6","license":[{"start":{"date-parts":[[2008,6,1]],"date-time":"2008-06-01T00:00:00Z","timestamp":1212278400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Neural Netw."],"published-print":{"date-parts":[[2008,6]]},"DOI":"10.1109\/tnn.2008.2000396","type":"journal-article","created":{"date-parts":[[2008,5,29]],"date-time":"2008-05-29T18:05:37Z","timestamp":1212084337000},"page":"929-937","source":"Crossref","is-referenced-by-count":76,"title":["Beyond Feedforward Models Trained by Backpropagation: A Practical Training Tool for a More Efficient Universal Approximator"],"prefix":"10.1109","volume":"19","author":[{"given":"R.","family":"Ilin","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"R.","family":"Kozma","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"P.J.","family":"Werbos","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","author":"minsky","year":"1969","journal-title":"Perceptrons"},{"key":"ref11","author":"minsky","year":"1988","journal-title":"Perceptrons (Expanded Edition)"},{"key":"ref12","year":"2007","journal-title":"Neurodynamics of Cognition and Consciousness"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2006.1716135"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/5.58337"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/0893-6080(90)90088-3"},{"key":"ref16","first-page":"2262","article-title":"Phased backpropagation: A hybrid of temporal backpropagation and backpropagation through time","author":"feldkamp","year":"1998","journal-title":"Proc World Congr Comput Intell"},{"key":"ref17","author":"werbos","year":"1992","journal-title":"Handbook of Intelligent Control Neural Fuzzy and Adaptive Approaches"},{"key":"ref18","author":"snyder","year":"1999","journal-title":"Understanding the Kalman filter An object oriented programming perspective"},{"key":"ref19","author":"anderson","year":"1958","journal-title":"An Introduction to Multivariate Statistical Analysis"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/4235.942536"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/BF00993164"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1142\/S0218127499000730"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1166\/jctn.2005.011"},{"key":"ref6","article-title":"Neural network design for J function approximation in dynamic programming","volume":"2","author":"pang","year":"1996","journal-title":"Math Model Sci Comp"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2004.837633"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/72.623201"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4615-5703-6_2"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/72.279191"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ICSMC.1996.565374"},{"key":"ref9","author":"rosenblatt","year":"1962","journal-title":"Principles of Neural Dynamics"},{"key":"ref1","year":"1992","journal-title":"Handbook of Intelligent Control Neural Fuzzy and Adaptive Approaches"},{"key":"ref20","year":"2001","journal-title":"Kalman Filtering and Neural Networks"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2005.12.135"},{"key":"ref21","author":"haykin","year":"1999","journal-title":"Neural Networks A Comprehensive Foundation"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2000.861284"},{"key":"ref23","first-page":"-764i","article-title":"Avoiding matrix invensions for the decoupled extended Kalman filter training algorithm","author":"puskorius","year":"1995","journal-title":"Proc World Congr Neural Netw"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ADPRL.2007.368206"},{"key":"ref25","volume":"7","year":"1999","journal-title":"Neuronal Information Processing From Biological Data to Modelling and Applications"}],"container-title":["IEEE Transactions on Neural Networks"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx5\/72\/4531603\/04526695.pdf?arnumber=4526695","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,11,29]],"date-time":"2021-11-29T20:50:27Z","timestamp":1638219027000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/4526695\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2008,6]]},"references-count":29,"journal-issue":{"issue":"6"},"URL":"https:\/\/doi.org\/10.1109\/tnn.2008.2000396","relation":{},"ISSN":["1045-9227","1941-0093"],"issn-type":[{"value":"1045-9227","type":"print"},{"value":"1941-0093","type":"electronic"}],"subject":[],"published":{"date-parts":[[2008,6]]}}}