Neural Networks and Their Applications
Coordonnateur : Taylor John G.
Modelling and Controller Design of an EGR Solenoid Valve usingNeural Networks (M. Arain).
Estimating Helicopter Strain using a Neural Network Approach (A.Vella et al.).
Neural Networks for Texture Classification (J. Boyce & J.Haddon).
Visualizing Nuclear Magnetic Resonance Spectra with Self-OrganizingNeural Networks (A. Koski, et al).
A Clustering Algorithm to Produce Context Rich Networks (N. Allott,et al.).
Neural Networks in VLSI Hardware (T. Clarkson).
Optimal VLSI Implementation of Neural Networks (V. Beiu).
New Avenues in Neural Networks (J. Taylor).
Index.
John G. Taylor has been working on consciousness and the mind for many years and has investigated the paranormal, brain imaging, and neural network modeling of brain regions. He is Emeritus Professor of Mathematics at King's College London and is on the Board of Governors of the International Neural Network Society.
Date de parution : 08-1996
Ouvrage de 322 p.
17.6x25.3 cm
Thème de Neural Networks and Their Applications :
Mots-clés :
fastgrowing paradigms; learning; neural; potential; industry; systems; applications; variety; wide; networks; applicability; universal; particular; many problems; general; greater; classification; manner; underlying; tasks; ideas