Non-Linear Feedback Neural Networks: VLSI Implementations and Applications

This book aims to present a viable alternative to the Hopfield Neural Network (HNN) model for analog computation. It is well known the standard HNN suffers from problems of convergence to local minima, and requirement of a large number of neurons and synaptic weights. Therefore, improved solutions are needed. The non-linear synapse neural network (NoSyNN) is one such possibility and is discusse…

Advanced Symbolic Analysis for VLSI Systems: Methods and Applications

This book provides comprehensive coverage of the recent advances in symbolic analysis techniques for design automation of nanometer VLSI systems. The presentation is organized in parts of fundamentals, basic implementation methods and applications for VLSI design. Topics emphasized include statistical timing and crosstalk analysis, statistical and parallel analysis, performance bound analysis a…

Algorithms for VLSI Physical Design Automation

Edition

-

ISBN/ISSN

0-7923-9294-9

Collation

xxiv, 487 p.; 25 cm.

Series Title

-

Call Number

621.395 She a

STATISTICAL MODELING FOR COMPUTER-AIDED DESIGN OF MOS VLSI CIRCUITS

Edition

-

ISBN/ISSN

0-7923-9299-X

Collation

xv, 187 p. : 24 cm

Series Title

The Kluwer international series in engineering and computer science. Analog circuits and signal processing

Call Number

621.38 5 Mic s