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

About the Author:

About the author ADAM BLUM has spent the last nine years working in software development, during which time he has been a principal contributor to several large software projects. These include a multidimensional spreadsheet interface for optimization problems, a language and compiler for authoring legal documents, and a new probabilistic method for text compression. Most recently he was employed as a senior software engineer in the research and development department of Cambridge Information group, a leading CD–ROM software firm. He worked on adaptive and probabilistic methods for various information retrieval problems, including data compression, content–based indexing and intelligent query formulation. Mr. Blum is an active member of ACM, ACM SIGIR, ACM SIGART, and the IEEE Computer Society.

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