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- W2104236041 abstract "A new model of Hopeld-t ype neural network of neurons with crisp somatic activa- tions which have some fuzzy synaptic modications is formulated which incorporates a Hebbian-type unsupervised learning algorithm. A set of sucien t conditions are derived for the existence of a glob- ally exponentially stable steady state; the exponential convergence of the learning algorithm is also considered. Our model will reduce to one of fuzzy neural networks considered by others when the learning component is absent; when the fuzzy synapses are absent, our model will reduce to the well known Hopeld-t ype network AMS (MOS) Subject Classication. 92B20, 34K20" @default.
- W2104236041 created "2016-06-24" @default.
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- W2104236041 date "2006-01-01" @default.
- W2104236041 modified "2023-09-27" @default.
- W2104236041 title "Learning dynamics and stability in networks with fuzzy synapses" @default.
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