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Qualitative Analysis and Synthesis of Recurrent Neural Networks
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- 504 pages
- English
- PDF
- Available on iOS & Android
eBook - PDF
Qualitative Analysis and Synthesis of Recurrent Neural Networks
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About This Book
"Analyzes the behavior, design, and implementation of artificial recurrent neural networks. Offers methods of synthesis for associative memories. Evaluates the qualitative properties and limitations of neural networks. Contains practical applications for optimal system performance."
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Yes, you can access Qualitative Analysis and Synthesis of Recurrent Neural Networks by Anthony Michel, Derong Liu in PDF and/or ePUB format, as well as other popular books in Mathematics & Mathematics General. We have over one million books available in our catalogue for you to explore.
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Table of contents
- Cover
- Half Title
- Title Page
- Copyright Page
- Preface
- Contents
- Chapter 1 Introduction
- Chapter 2 Some Neural Network Models
- Chapter 3 Qualitative Analysis of Analog Hopfield-Type Neural Networks: Global Results
- Chapter 4 Stability Analysis of Linear Systems Operating on a Closed Hypercube: System (M)
- Chapter 5 Qualitative Analysis of Hopfield-Type Neural Networks: Local Results
- Chapter 6 Qualitative Effects of Parameter Perturbations
- Chapter 7 Qualitative Effects of Time Delays
- Chapter 8 Some Synthesis Methods for Associative Memories
- Chapter 9 Effects of Interconnection Constraints
- Index