Static and Dynamic Neural Networks

Static and Dynamic Neural Networks

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Provides comprehensive treatment of the theory of both static and dynamic neural networks. * Theoretical concepts are illustrated by reference to practical examples Includes end-of-chapter exercises and end-of-chapter exercises. *An Instructor Support FTP site is available from the Wiley editorial department./z(tf_T)x(tfa€”T)dT (10.19) tfa€”t() O 3% = r / Z(tfa€”T)fw(r(tfa€”T), w)dT (10.20) if-ig Of course, the history of :1c(t) (to g t 5 if) may be memorized during the ... dynamic neural unit (CT-DNU) % I a€”oi:c(k) + wy(t) + s W) = 906(0) the equivalent model of the DNU in discrete time (DT-DNU) is given by $(k + 1) I a€”(a a€” + lug/(k) + s yo) = 0000) 00.22) The block diagram of the above discrete-time model is given in Fig.


Title:Static and Dynamic Neural Networks
Author: Madan Gupta, Liang Jin, Noriyasu Homma
Publisher:John Wiley & Sons - 2004-04-05
ISBN-13:

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