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Solubility and stability of recurrent neural networks with nonlinearity or time-varying delays

✍ Scribed by Eva C. Yen

Publisher
Elsevier Science
Year
2011
Tongue
English
Weight
914 KB
Volume
16
Category
Article
ISSN
1007-5704

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✦ Synopsis

Time-varying delays a b s t r a c t Because to apply a deterministic RNN to a noisy time series and the existence of a linear approximation are doubtful, we reconsider the solubility and stability of a recurrent neural network (RNN). Simpler methods are proposed to replace the complicated nonsingular M-matrix method when nonlinearities exist and to replace the complicated linear matrix inequality method when time-varying delays exist.

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