Simulating Neural Networks with Mathematica
Freeman, James
Sold by ThriftBooks-Atlanta, AUSTELL, GA, U.S.A.
AbeBooks Seller since March 24, 2009
Used - Soft cover
Condition: Used - Very good
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Quantity: 1 available
Add to basketSold by ThriftBooks-Atlanta, AUSTELL, GA, U.S.A.
AbeBooks Seller since March 24, 2009
Condition: Used - Very good
Quantity: 1 available
Add to basketMay have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.
Seller Inventory # G020156629XI4N00
This book introduces neural networks, their operation, and application, in the context of the interactive Mathematica environment. Readers will learn how to simulate neural network operations using Mathematica, and will learn techniques for employing Mathematica to assess neural network behavior and performance. For students of neural networks in upper-level undergraduate or beginning graduate courses in computer science, engineering, and related areas. Also for researchers and practitioners interested in using Mathematica as a research tool.
FeaturesTable of ContentsIntroduction to Neural Networks and Mathematica
- Teaches the reader about what neural networks are, and how to manipulate them within the Mathematica environment.
- Shows how Mathematica can be used to implement and experiment with neural network architectures.
- Addresses a major topic related to neural networks in each chapter, or a specific type of neural network architecture.
- Contains exercises, suggested projects, and supplementary reading lists with each chapter.
- Includes Mathematica application programs ("packages") in Appendix. (Also available electronically from MathSource.)
Training by Error Minimization
Backpropagation and Its Variants
Probability and Neural Networks
Optimization and Constraint Satisfaction with Neural Networks
Feedback and Recurrent Networks
Adaptive Resonance Theory
Genetic Algorithms
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