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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
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From the Publisher
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.
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 0471552011
- ISBN 13 9780471552017
- BindingPaperback
- LanguageEnglish
- Edition number1
- Number of pages224
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