Research Catalog

Principles of artificial neural networks

Title: Principles of artificial neural networks / Daniel Graupe.
Author: Graupe, Daniel.
Publication: Singapore ; River Edge, NJ : World Scientific, ©1997.

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Status	Format	Access	Call Number	Item Location
Request for On-site Use Request Scan How do I pick up this item and when will it be ready?	Text	Use in library	QA76.87 .G728 1997	Off-site

Details

Description

xi, 238 pages : illustrations; 26 cm

Series Statement

Advanced series on circuits and systems ; vol. 3

Uniform Title

Advanced series on circuits and systems ; vol. 3.

Alternative Title

Artificial neural networks

Subject

Bibliography (note)

Includes bibliographical references (p. 227-232) and indexes.

Contents

1. Introduction and Role of Artificial Neural Networks -- 2. Fundamentals of Biological Neural Networks -- 3. Basic Priniples of ANN and Their Early Structures -- 4. The Madaline -- 5. The Perceptron -- 6. Back Propagation -- 7. Hopefiled Networks -- 8. Counter Propagation -- 9. Adaptive Resonance Theory -- 10. The Cognitron and the Neocognitron -- 11. Statistical Training -- 12. Recurrent (Time Cycling) Back Propagation Networks -- 13. Large-Scale Memory Storage and Retrieval (LAMSTAR).

ISBN

9810225164
9789810225162
9789810241254
9810241259

OCLC

ocm37916948
37916948
SCSB-9170799

Owning Institutions

Princeton University Library