{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,6]],"date-time":"2024-09-06T23:20:01Z","timestamp":1725664801151},"publisher-location":"Berlin, Heidelberg","reference-count":18,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540594970"},{"type":"electronic","value":"9783540492887"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[1995]]},"DOI":"10.1007\/3-540-59497-3_282","type":"book-chapter","created":{"date-parts":[[2012,2,26]],"date-time":"2012-02-26T17:23:51Z","timestamp":1330277031000},"page":"1036-1044","source":"Crossref","is-referenced-by-count":0,"title":["On line identification of causal relationships between variables in the feed water system of a nuclear power plant"],"prefix":"10.1007","author":[{"given":"J. R.","family":"\u00c1lvarez","sequence":"first","affiliation":[]},{"given":"J.","family":"Mira","sequence":"additional","affiliation":[]},{"given":"R. A.","family":"Fern\u00e1ndez","sequence":"additional","affiliation":[]},{"given":"L.","family":"Sainz","sequence":"additional","affiliation":[]},{"given":"V.","family":"Arroyo","sequence":"additional","affiliation":[]},{"given":"A. E.","family":"Delgado","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2005,6,1]]},"reference":[{"key":"134_CR1","unstructured":"Barto, G. A. (1990): \u201cConectionist Learning for Control\u201d. Neural Networks for Control. Miller III, Thomas W.; Sutton, Richard S.; Werbos, Paul J. (Eds.) pp. 5\u201358. The MIT Press."},{"key":"134_CR2","doi-asserted-by":"crossref","unstructured":"Cellier, F. E. (1991): \u201cContinuous System Modeling\u201d, pp. 659\u2013671. Springer-Verlag.","DOI":"10.1007\/978-1-4757-3922-0"},{"key":"134_CR3","unstructured":"Fonseca, J.S. da; McCulloch, W.S. (1967): \u201cSynthesis and Linearization of Non-Linear Feedback Shift Registers: Basis of a Model of Memory\u201d. Q.P.R. n\u2218 86. pp. 355. MIT."},{"key":"134_CR4","first-page":"310","volume":"EC-13","author":"K. Fukunaga","year":"1964","unstructured":"Fukunaga, K. (1964): \u201cA Theory of Non-Linear Autonomous Sequential Nets Using Z-Transformes\u201d. IEEE Trans., 1964, vol. EC-13, pp. 310\u2013313.","journal-title":"IEEE Trans., 1964"},{"key":"134_CR5","doi-asserted-by":"crossref","unstructured":"Gallant, S.I. (1993): \u201cNeural Network Learning and Expert Systems\u201d. The MIT Press.","DOI":"10.7551\/mitpress\/4931.001.0001"},{"key":"134_CR6","unstructured":"General Electric: \u201cDesign Specification\u201d (Nuclenor). Plant documentation of Santa Maria de Garo\u00f1a Nuclear Power Plant."},{"key":"134_CR7","volume-title":"Computaci\u00f3n Neuronal","author":"J. Mira","year":"1992","unstructured":"Mira, J. (1992): \u201cComputaci\u00f3n Neuronal\u201d. UNED. Madrid."},{"key":"134_CR8","doi-asserted-by":"crossref","unstructured":"Mira, J.; Delgado, A.E.(1991): \u201cAlways Trying to Write an Equation for the Brain\u201d, Lecture Notes in Computer Science, 540, Artificial Neural Networks. A. Prieto (de.) pp 93\u2013100. Springer-Verlag.","DOI":"10.1007\/BFb0035882"},{"key":"134_CR9","unstructured":"Mira, J.; Delgado, A.E.(1991): \u201cLinear and Algorithmic Formulation of Co-operative Computation in Neural Nets.\u201d Lecture Notes in Computer Science, 585, Computer Aided Systems Theory, EuroCast'91. F. Pichler and R. Moreno Diaz (Eds.) pp 2\u201320. Springer-Verlag."},{"key":"134_CR10","doi-asserted-by":"crossref","unstructured":"Mira, J.; Delgado, A.E.; \u00c1lvarez, J.R.; P. de Madrid, A.; Santos, M. (1993a): \u201cTowards More Realistic Self Contained Models of Neurons: High-Order, Recurrence and Local Learning\u201d New Trends in Neural Computation, pp. 55\u201362. J.Mira, J.Cabestany, A.Prieto (Eds.) Springer-Verlag.","DOI":"10.1007\/3-540-56798-4_124"},{"key":"134_CR11","unstructured":"Mira, J.; Fern\u00e1ndez, R.A.; \u00c1lvarez, J.R. (1993b): \u201cEvaluaci\u00f3n, An\u00e1lisis y Modelaci\u00f3n de los Sistemas de Control de la Central Nuclear de Santa Maria de Garo\u00f1a\u201d. (Project Report) Madrid y Santander."},{"key":"134_CR12","doi-asserted-by":"crossref","first-page":"259","DOI":"10.1080\/01969729408902327","volume":"25","author":"J. Mira","year":"1994","unstructured":"Mira, J.; Delgado, A.E.; Santos, M.; P. de Madrid, A.; \u00c1lvarez, J.R. (1994): \u201cLocal Learning in Networks of Universal Analogic Neurons\u201d. Cybernetics and Systems 25: pp. 259\u2013273.","journal-title":"Cybernetics and Systems"},{"key":"134_CR13","unstructured":"Narendra, K.S. (1990): \u201cAdaptive control usign neural networks\u201d. Neural Networks for Control. Miller III, Thomas W.; Sutton, Richard S.; Werbos, Paul J. (Eds.) pp. 5\u201358. The MIT Press."},{"key":"134_CR14","unstructured":"Nilsson, N. (1965): \u201cLearning Machines\u201d.pp. 27\u201330. McGraw-Hill."},{"key":"134_CR15","unstructured":"Lettvin, J.Y. (1962): \u201cForm-function Relations in Neurons\u201d, Q.P.Q. n\u2218 66, pp. 333. Research Lab. of Elect. MIT."},{"key":"134_CR16","doi-asserted-by":"crossref","unstructured":"R\u00f6ckmann, D.; Moraga, C. (1991): \u201cUsing Quadratic Perceptrons to Reduce Interconnection Density in Multilayer Neural Networks\u201d. Lecture Notes in Computer Science, 540, Artificial Neural Networks, A. Prieto (de.) pp. 86\u201391, Springer-Verlag.","DOI":"10.1007\/BFb0035881"},{"key":"134_CR17","doi-asserted-by":"crossref","unstructured":"Rumelhart, D.E.; Hinton, G.E.; Williams, R.J. (1986): \u201cLearning internal representations by error propagation\u201d, Parallel Distributed Processing: Explorations in the Microstructure of Cognition, Vol 1 Foundations. D.E. Rumelhart and J.L. McClelland (Eds.). The MIT Press.","DOI":"10.21236\/ADA164453"},{"key":"134_CR18","doi-asserted-by":"crossref","first-page":"339","DOI":"10.1016\/0893-6080(88)90007-X","volume":"1","author":"P.J. Werbos","year":"1988","unstructured":"Werbos, P.J. (1988): \u201cGeneralization of back propagation with applications to a recurrent gas market model\u201d Neural Networks, 1. pp 339\u2013356.","journal-title":"Neural Networks"}],"container-title":["Lecture Notes in Computer Science","From Natural to Artificial Neural Computation"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/3-540-59497-3_282.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,11,17]],"date-time":"2020-11-17T21:27:58Z","timestamp":1605648478000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/3-540-59497-3_282"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[1995]]},"ISBN":["9783540594970","9783540492887"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/3-540-59497-3_282","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[1995]]}}}