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Artificial Neural Networks: An Introduction
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ISBN
:
9788120332294
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Publisher
:
Phi Learning
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Subject
:
Computer Science
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Binding
:
Paperback
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Pages
:
180
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Year
:
2007
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195.0
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Description
This concise tutorial text provides the reader with an understanding of Artificial Neural Networks (ANNs) and some of their important applications, such as in pattern recognition, function approximation, database mining, etc. Table of Contents Preface Acknowledgements 1. INTRODUCTION 2. LEARNING METHODS 3. DATA NORMALIZATION 4. DATA COLLECTION, PREPARATION, LABELING, AND INPUT CODING 5. OUTPUT CODING 6. POST-PROCESSING 7. SUPERVISED TRAINING METHODS 8. UNSUPERVISED TRAINING METHODS 9. RECURRENT NEURAL NETWORKS 10. A PLETHORA OF APPLICATIONS 11. DEALING WITH LIMITED AMOUNTS OF DATA APPENDICES A. The Feedforward Neural Network B. Feature Saliency C. Matlab Code for Various Neural Networks D. Glossary of Terms References Index
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