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Synopsis
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.
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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
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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- PublisherWiley
- Publication date1992
- ISBN 10 0471538477
- ISBN 13 9780471538479
- BindingPaperback
- LanguageEnglish
- Edition number1
- Number of pages224
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