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深度學習
神經網絡設計 版權信息
- ISBN：7111108418
- 條形碼：9787111108412 ; 978-7-111-10841-2
- 裝幀：簡裝本
- 冊數：暫無
- 重量：暫無
- 所屬分類：>
神經網絡設計 內容簡介
Martin T.Hagan,Howard B.Demuth:Neural Network Design Original copyright @ 1996 by PWS Publishing Company.All rights reserved. First published by PWS Publishing Company,a division of Thomsin Learning,United States of America. Reprinted for People's Republic of China by Thomson Asia Pte Ltd and China Machine Press and CITIC Publishing House under the arthorization of Thomson Learning.No part of this book may be reproduced in any form without the the prior written permission of Thomson Learing and China Machine Perss.
神經網絡設計 目錄
Preface
1 Introduction
2 Neuron Model and network Architectures
3 An Illustrative Example
4 Perceptron Learning Rule
5 Siganl and Weight Vector Spaces
6 Linear Transformations for Neural Networks
7 Supervised Hebbian Learning
8 Performance Surfaces and Optimum Points
9 Performance Optimization
10 Widrow-Hoff Learning
11 Backpropagation
12 Variations on Backpropagation
13 Associative Learning
14 Competitive Networks
15 Grossberg Network
16 Adaptive Resonance Theory
17 Stability
18 Hopfield Network
19 Epilogue
Appendices
A Bibliography
B Notation
C Software
I index
1 Introduction
2 Neuron Model and network Architectures
3 An Illustrative Example
4 Perceptron Learning Rule
5 Siganl and Weight Vector Spaces
6 Linear Transformations for Neural Networks
7 Supervised Hebbian Learning
8 Performance Surfaces and Optimum Points
9 Performance Optimization
10 Widrow-Hoff Learning
11 Backpropagation
12 Variations on Backpropagation
13 Associative Learning
14 Competitive Networks
15 Grossberg Network
16 Adaptive Resonance Theory
17 Stability
18 Hopfield Network
19 Epilogue
Appendices
A Bibliography
B Notation
C Software
I index
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