Research Catalog

An introduction to neural networks

Title: An introduction to neural networks / James A. Anderson.
Author: Anderson, James A.
Publication: Cambridge, Mass. : MIT Press, [1995], ©1995.

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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	Request in advance	QP363.3 .A534 1995	Off-site

Holdings

Details

Description

xi, 650 pages : illustrations; 27 cm

Subject

Neural networks (Neurobiology)

Note

"A Bradford book."

Bibliography (note)

Includes bibliographical references and index.

Contents

1. Properties of Single Neurons -- 2. Synaptic Integration and Neuron Models -- 3. Essential Vector Operations -- 4. Lateral Inhibition and Sensory Processing -- 5. Simple Matrix Operations -- 6. The Linear Associator: Background and Foundations -- 7. The Linear Associator: Simulations -- 8. Early Network Models: The Perceptron -- 9. Gradient Descent Algorithms -- 10. Representation of Information -- 11. Applications of Simple Associators: Concept Formation and Object Motion -- 12. Energy and Neural Networks: Hopfield Networks and Boltzmann Machines -- 13. Nearest Neighbor Models -- 14. Adaptive Maps -- 15. The BSB Model: A Simple Nonlinear Autoassociative Neural Network -- 16. Associative Computation -- 17. Teaching Arithmetic to a Neural Network.

ISBN

0262011441

LCCN

94030749

OCLC

30971691
ocm30971691

Owning Institutions

Columbia University Libraries