An introduction to neural networks /

An introduction to neural networks /

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Bibliographic Details
Author / Creator:	Anderson, James A.
Imprint:	Cambridge, Mass. : MIT Press, ©1995. ©1995
Description:	1 online resource (xi, 650 pages) : illustrations
Language:	English
Series:	A Bradford Book Ser. A Bradford Book Ser.
Subject:	Neural networks (Neurobiology) Neural Networks, Computer. Models, Neurological. Computer Simulation. Nerve Net -- physiology. Neural networks (Neurobiology) Electronic books.
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/11980660

Hidden Bibliographic Details
Other authors / contributors:	CogNet. CogNet Library.
ISBN:	9780262315883 0262315882 9780262510813 0262510812 0262011441 9780262011440
Notes:	"A Bradford book." Includes bibliographical references and index. English. Print version record; title verified on publisher's Web site (viewed June 1, 2011).
Other form:	Print version: Anderson, James A. Introduction to neural networks. Cambridge, Mass. : MIT Press, ©1995 0262510812

Table of Contents:

Introduction
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 Kinear 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
Afterword.