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Thèse Sciences Cognitives - Olivier Nerot

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Mémorisation par forçage des dynamiques chaotiques dans les modèles connexionnistes récurrents<br />

[[213]] Ronald J. Williams. Training Recurrent networks using the extended kalman filter. 0-7803-0559-<br />

0/92. IEEE. Vol. 4. p.241-246. (1992)<br />

[[214]] Ronald.J. Williams, Jing Peng. An efficient gradient based algorithm for on-line training of<br />

recurrent network trajectories. Neural Computation. 2. p490-501. (1990)<br />

[[215]] Ronald.J. Williams, D. Zipser (zipser@cogsci.ucsd.edu). A learning algorithm for continually<br />

running fully recurrent neural networks. Neural Computation. 1. p270-280. (1989)<br />

[[216]] Ronald.J. Williams, D. Zipser (zipser@cogsci.ucsd.edu). Experimental analysis of the realtime<br />

recurrent learning algorithm. Connection Science, 1, pp87-111. (1991)<br />

[[221]] David Zipser. A subgrouping strategy that reduces complexity and speeds up learning in recurrent<br />

networks. Neural Computation. 1. p552-558. (1989)<br />

[[222]] David Zipser. Recurrent network model of the neural mechanism of short-term active memory.<br />

Neural computation. 3. 179-193. (1991)<br />

APPRENTISSAGE DANS LES RESEAUX RECURRENTS 93

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