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An introduction to neural networks

An introduction to neural networks (Loan 7 times)

Material type
단행본
Personal Author
Anderson, James A.
Title Statement
An introduction to neural networks / James A. Anderson.
Publication, Distribution, etc
Cambridge, Mass. :   MIT Press,   c1995.  
Physical Medium
xi, 650 p. : ill. ; 27 cm.
ISBN
0262011441
General Note
"A Bradford book."  
Bibliography, Etc. Note
Includes bibliographical references and index.
Subject Added Entry-Topical Term
Neural networks (Neurobiology)
000 00779camuu2200253 a 4500
001 000000805272
005 20030224115602
008 940801s1995 maua b 001 0 eng
010 ▼a 94030749
020 ▼a 0262011441
035 ▼a KRIC00261835
040 ▼a 211032 ▼c 211032 ▼d 211009
049 1 ▼l 111236523
050 0 0 ▼a QP363.3 ▼b .A534 1995
082 0 0 ▼a 612.8 ▼2 21
090 ▼a 612.8 ▼b A547i
100 1 ▼a Anderson, James A.
245 1 3 ▼a An introduction to neural networks / ▼c James A. Anderson.
260 ▼a Cambridge, Mass. : ▼b MIT Press, ▼c c1995.
300 ▼a xi, 650 p. : ▼b ill. ; ▼c 27 cm.
500 ▼a "A Bradford book."
504 ▼a Includes bibliographical references and index.
650 0 0 ▼a Neural networks (Neurobiology)

No. Location Call Number Accession No. Availability Due Date Make a Reservation Service
No. 1 Location Main Library/Western Books/ Call Number 612.8 A547i Accession No. 111236523 Availability Available Due Date Make a Reservation Service B M
No. 2 Location Science & Engineering Library/Sci-Info(Stacks2)/ Call Number 612.8 A547i Accession No. 121162332 Availability Available Due Date Make a Reservation Service B M
No. Location Call Number Accession No. Availability Due Date Make a Reservation Service
No. 1 Location Main Library/Western Books/ Call Number 612.8 A547i Accession No. 111236523 Availability Available Due Date Make a Reservation Service B M
No. Location Call Number Accession No. Availability Due Date Make a Reservation Service
No. 1 Location Science & Engineering Library/Sci-Info(Stacks2)/ Call Number 612.8 A547i Accession No. 121162332 Availability Available Due Date Make a Reservation Service B M

Contents information

Table of Contents


CONTENTS
Introduction = ⅶ
Acknowledgments = xiii
1. Properties of single Neurons = 1
2. Synaptic Integration and Neuron Models = 37
3. Essential Vector Operations = 63
4. Lateral Inhibition and Sensory Processing = 85
5. Simple Matrix Operations = 129
6. The Linear Associator : Background and Foundations = 143
7. The Linear Associator : Simulations = 175
8. Early Network Models : The Perceptron = 209
9. Gradient Descent Algorithms = 239
10. Representation of Information = 281
11. Applications of Simple Associators : Concept Formation and Object Motion = 351
12. Energy and Neural Networks : Hopfield Networks and Boltzmann Machines = 401
13. Nearest Neighbor Models = 433
14. Adaptive Maps = 463
15. The BSB Model : A Simple Nonlinear Autoassociative Neural Network = 493
16. Associative Computation = 545
17. Teaching Arithmetic to a Neural Network = 585
Afterword = 629
Index = 631


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