Abstract:
This paper gives a condition for the global stability of a continuous-time Hopfield neural network when its activation function may not be monotonically increasing. The g...Show MoreMetadata
Abstract:
This paper gives a condition for the global stability of a continuous-time Hopfield neural network when its activation function may not be monotonically increasing. The global stability is proven by constructing a new energy function.
Published in: ICSP '98. 1998 Fourth International Conference on Signal Processing (Cat. No.98TH8344)
Date of Conference: 12-16 October 1998
Date Added to IEEE Xplore: 06 August 2002
Print ISBN:0-7803-4325-5
