eBooks - Science & Technology - Computers & Internet - Jeff T. Heaton - Introduction to Neural Networks with Java


Introduction to Neural Networks with Java eBooks

by Jeff T. Heaton


Introduction to Neural Networks with Java - Adobe eBook

Introduction to Neural Networks with Java eBook

Adobe
Platforms
Windows Vista / XP / 2000, Mac OS X, Sony Reader

Features
Advanced navigation, search, bookmarks, and multiple viewing options.

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Price: $29.98


Introduction to Neural Networks with Java - Microsoft Reader eBook

Introduction to Neural Networks with Java eBook

Microsoft Reader
Platforms
Windows PC, Windows Mobile 5.0-6.0, Pocket PC 2003

Features
ClearType, advanced navigation, search, personal library, bookmarks, notes, and drawing.

 Availability:
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Price: $29.98


Introduction to Neural Networks with Java Summary

Introduction to Neural Networks in Java introduces the Java programmer to the world of Neural Networks and Artificial Intelligence. Neural network architectures such as the feedforward backpropagation, Hopfield, and Kohonen networks are discussed. Additional AI topics, such as Genetic Algorithms and Simulated Annealing, are also introduced. Practical examples are given for each neural network. Examples include the Traveling Salesman problem, handwriting recognition, fuzzy logic and learning mathematical functions. All Java source code can be downloaded online. In addition to showing the programmer how to construct these neural networks, the book discusses the Java Object Oriented Neural Engine (JOONE). JOONE is a free open source Java neural engine.
Introduction to Neural Networks in Java introduces the Java programmer to the world of Neural Networks and Artificial Intelligence. Neural network architectures such as the feedforward backpropagation, Hopfield, and Kohonen networks are discussed. Additional AI topics, such as Genetic Algorithms and Simulated Annealing, are also introduced. Practical examples are given for each neural network. Examples include the Traveling Salesman problem, handwriting recognition, fuzzy logic and learning mathematical functions. All Java source code can be downloaded online. In addition to showing the programmer how to construct these neural networks, the book discusses the Java Object Oriented Neural Engine (JOONE). JOONE is a free open source Java neural engine.


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