Uncover the power of artificial neural networks by implementing them through R code. About This Book Develop a strong background in neural networks with R, to implement them in your applications Build smart systems using the power of deep learning Real-world case studies to illustrate the powe
Code Recognition and Set Selection with Neural Networks
β Scribed by Clark Jeffries (auth.), Clark Jeffries (eds.)
- Publisher
- BirkhΓ€user Boston
- Year
- 1991
- Tongue
- English
- Leaves
- 175
- Series
- Mathematical Modeling 7
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Table of Contents
Front Matter....Pages i-viii
The Neural Network Approach to Problem Solving....Pages 1-8
Neural Networks as Dynamical Systems....Pages 9-32
Hypergraphs and Neural Networks....Pages 33-52
The Memory Model....Pages 53-81
Code Recognition, Digital Communications, and General Recognition....Pages 82-101
Memory Models with Limit Cycles as Attractors....Pages 102-117
Solving Operations Research Problems with Neural Networks....Pages 118-128
Back Matter....Pages 129-166
β¦ Subjects
Mathematical Logic and Foundations; Mathematical Modeling and Industrial Mathematics; Computational Science and Engineering; Algorithms
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