Interest in this area is at an all-time high. Fully explains how to apply neural networks to real-world problems, focusing on the practical side of building neural network applications. Besides providing a wealth of examples in C++, full coverage of three major application areas of neural network programming is included along with a complete C++ class library especially designed for neural network usage.

From the Back Cover:

Neural Networks in C++ An Object-Oriented Framework for Building Connectionist Systems Extremely useful, this valuable guide concentrates on the practical side of building neural network applications. Written with a wealth of useful examples in C++, the book provides you with the nuts-and-bolts guidelines for hands-on development of real-world connectionist systems. Neural Networks in C++ also:

Includes a complete C++ class library especially designed for neural network applications
Fully covers three major application areas of neural network programming—image recognition, text processing, and forecasting
Provides introductory material on neural networks
Covers the basics on an object-oriented framework for connectionist systems

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