ABSTRACT
The Handbook of Neural Computation is a practical, hands-on guide to the design and implementation of neural networks used by scientists and engineers to tackle difficult and/or time-consuming problems.
The handbook bridges an information pathway between scientists and engineers in different disciplines who apply neural networks to similar probl
TABLE OF CONTENTS
part A
Introduction
part B
Fundamental Concepts of Neural Computation
part C
Neural Network Models
part D
Hybrid Approaches
part E
Neural Network Implementations
part F
Applications of Neural Computation
part G
Neural Networks in Practice: Case Studies
part H
The Neural Network Research Community