Title An introduction to neural networks / James A. Anderson

Published Cambridge, Mass : MIT Press, [1995] Cambridge, Mass : MIT Press, c1995 c1995 ©1995

Copies

Location	Call no.	Vol.	Availability
MELB	612.8 And/Itn		AVAILABLE

Description xi, 650 pages : illustrations ; 27 cm 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 Notes "A Bradford book." Bibliography Includes bibliographical references and index Subject Computers -- Circuits. Neural circuitry. Neural networks (Computer science) Neural networks (Neurobiology) LC no. 94030749 ISBN 0262011441

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