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

part B

Fundamental Concepts of Neural Computation

part C

Neural Network Models

part D

Hybrid Approaches

part F

Applications of Neural Computation

chapter F1

Neural Network Applications

chapter F1.1

Introduction

chapter F1.4

Associative memory

chapter F1.5

Data compression

chapter F1.6

Image processing

chapter F1.7

Speech processing

chapter F1.8

Signal processing

chapter F1.9

Control

part G

Neural Networks in Practice: Case Studies

chapter G2

Engineering

chapter G5

Medicine