Title :
Stability Analysis of Fuzzy Hopfield Networks Based on Weakly Continuous T-Norms
Author_Institution :
Logistical Eng. Univ., Chongqing
Abstract :
A general dynamical fuzzy neural networks model - fuzzy Hopfield networks with threshold is developed, which is based on the fuzzy operator composition of max(v) and weakly continuous T-norms. It is shown that the model is global stable with the Hamming distance, and its equilibrium point (attractor) is Lyapunov stable.
Keywords :
Hopfield neural nets; Lyapunov methods; fuzzy neural nets; fuzzy set theory; stability; Hamming distance; Lyapunov stable; fuzzy Hopfield networks; fuzzy neural networks; stability analysis; weakly continuous T-norms; Bidirectional control; Equations; Fuzzy cognitive maps; Fuzzy neural networks; Fuzzy sets; Fuzzy systems; Hamming distance; Neural networks; Neurons; Stability analysis;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery, 2007. FSKD 2007. Fourth International Conference on
Conference_Location :
Haikou
Print_ISBN :
978-0-7695-2874-8
DOI :
10.1109/FSKD.2007.529
