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Existence of binary invariant sets in feedback neural networks with application to synthesis

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1 Author(s)
Perfetti, R. ; Info-Com Dept., Rome Univ., Italy

The design of fully connected discrete-time neural networks, with threshold units, can be performed by solving a set of linear inequalities. Using this formulation, the design problem can be handled by several powerful algorithms. This approach is extended to the design of continuous-time neural networks with sigmoidal units, which represent a more realistic model of analog circuit implementations. The proposed method is based on some theoretical results proved in this paper

Published in:

Neural Networks, IEEE Transactions on  (Volume:4 ,  Issue: 1 )

Date of Publication:

Jan 1993

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