Neural Networks in C++: An Object-Oriented Framework for Building Connectionist Systems
Adam Blum
ISBN 10: 0471552011 ISBN 13: 9780471552017
Published by Wiley, 1992
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About this Item
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Synopsis:
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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Bibliographic Details
Title: Neural Networks in C++: An Object-Oriented ...
Publisher: Wiley
Publication Date: 1992
Binding: Paperback
Condition: Very Good
Dust Jacket Condition: No Jacket
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Neural Networks in C++ : An Object-Oriented Framework for Building Connectionist Systems
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ISBN 10: 0471552011
ISBN 13: 9780471552017
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