Adaptive Analogue VLSI Neural Systems

✍ Scribed by M. Jabri, R.J. Coggins, B.G. Flower

Publisher: Springer
Year: 1995
Tongue: English
Leaves: 263
Edition: 1
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

This book approaches VLSI neural networks from a practical viewpoint, using case studies to show the full process of VLSI implementation of a network, and addressing the important issues of learning algorithms and limited precision effects. System aspects and low-power implementation issues are also covered. The authors are all international figures in the field from AT&T Bell Labs, Bellcore and SEDAL.

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