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Neuronal state feedback learning of Cohen-Grossberg networks

✍ Scribed by Apostolou, N.; King, R. E.


Publisher
John Wiley and Sons
Year
1999
Tongue
English
Weight
113 KB
Volume
27
Category
Article
ISSN
0098-9886

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✦ Synopsis


This paper proposes a direct synaptic weight training technique for a class of additive dynamic auto-associative neural networks based on the Cohen}Grossberg neuronal activation model. The proposed technique is based on the Jurdjevic}Quinn stabilization method for control a$ne systems. Asymptotic stability of the training law is guaranteed and regions of attraction around each point attractor are prede"ned. The proposed technique requires the solution of signi"cantly fewer non-linear di!erential equations and is considerably simpler and faster than existing training techniques.


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