Research Catalog

Title

Neural network principles / Robert L. Harvey.

Author

Harvey, Robert L.

Publication

Englewood Cliffs, NJ : Prentice Hall, [1994], ©1994.

Items in the Library & Off-site

Holdings

Details

Description

ix, 197 pages : illustrations; 25 cm

Summary

• Harvey derives a set of simple networks that can filter, recall, switch, amplify, and recognize input signals that are all patterns of neuron activation.
• In addition, Neural Network Principles outlines the design of machine vision systems, explores motor control of the human brain and presents two examples of artificial hand-eye systems, demonstrates how to solve large systems of interconnected neurons, and considers control and modulation in the human brain-mind with insights for a new understanding of many mental illnesses.
• The author also discusses properties of general interconnected neuron groups, including the well-known Hopfield and perception neural networks using a unified approach along with suggestions of new design procedures for both. He then applies the theory to synthesize artificial neural networks for specialized tasks.
• Using models of biological systems as springboards to a broad range of applications, this volume presents the basic ideas of neural networks in mathematical form. Comprehensive in scope, Neural Network Principles outlines the structure of the human brain, explains the physics of neurons, derives the standard neuron state equations, and presents the consequences of these mathematical models. Author Robert L.

Subjects

• Neural networks (Neurobiology)
• Nerve Net
• Models, Neurological

Bibliography (note)

• Includes bibliographical references and indexes.

Contents

1. Introduction -- 2. Neuron Physics and State Equations -- 3. Simple Networks -- 4. Complex Networks -- 5. Vision Systems -- 6. Hand-Eye Systems -- 7. Advanced Design Methods -- 8. Brain Control and Modulation Systems -- 9. Philosophical Implications.

ISBN

0130633305

LCCN

93042660

Owning Institutions

Columbia University Libraries