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Abstract: Recurrent Neural Networks has received much attention due to its nonlinear dynamic behavior. One such type of dynamic behavior is that of setting to a fixed stable state. (Update)
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BibTeX entry: (Update)
@misc{ cai-counterexample,
author = "Xindi Cai and Donald C. Wunsch and II",
title = "Counterexample of a Claim Pertaining to the Synthesis of a Recurrent Neural
Network",
url = "citeseer.ist.psu.edu/568354.html" }
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11 Sparsely Interconnected Neural Networks for Associative Memo.. (context) - Liu, Michel - 1994
7 the Analysis of Dynamic Feedback Neural Nets (context) - Salam, Wang et al. - 1991
5 A New Synthesis Approach for Feedback Neural Networks Based .. - Liu, Lu - 1997
4 Qualitative Analysis and Synthesis of a Class of Neural Netw.. (context) - Li, Michel et al. - 1988
4 Qualitative limitations Incurred in Implementations of Recur.. (context) - Michel, Wang et al. - 1995
3 Associative Memories via Artificial Neural Networks (context) - Michel, Farrell - 1990
1 Fixed-Point Attractors in Analog Neural Computation (context) - Waugh - 1990
1 Lcaming Internal Representations by Error Propagation (context) - Rumclhart, Hinton et al. - 1986
1 Neural Network Design for J Function Approximation in Dynami.. - Pang, Werbos - 1996
1 An Analysis Method for Designing Simple Cellular Neural Netw.. (context) - Chua, Thiran - 1991
1 Stability and Attractivity in Associative Memory Networks (context) - Cottroll - 1988
1 ote on the Maxnet Dynamic (context) - Sum, Tam - 1996
1 Analysis and Synthcsis of a Class of Neural Networks: Variab.. (context) - Li, Michel et al. - 1989
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