Introduction to Neural Networks for C#, Second Edition, introduces the C# programmer to the world of Neural Networks and Artificial Intelligence. Neural network architectures, such as the feedforward, Hopfield, and self-organizing map architectures are discussed. Training techniques, such as backpro
Introduction to Neural Networks for C#, 2nd Edition
โ Scribed by Jeff Heaton
- Publisher
- Heaton Research, Incorporated
- Year
- 2008
- Tongue
- English
- Leaves
- 428
- Edition
- 2
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
Introduction to Neural Networks with C#, Second Edition, introduces the C# programmer to the world of Neural Networks and Artificial Intelligence. Neural network architectures, such as the feedforward, Hopfield, and self-organizing map architectures are discussed. Training techniques, such as backpropagation, genetic algorithms and simulated annealing are also introduced. Practical examples are given for each neural network. Examples include the traveling salesman problem, handwriting recognition, financial prediction, game strategy, mathematical functions, and Internet bots. All C# source code is available online for easy downloading.
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