Neural Networks in C++: An Object-Oriented Framework for Building Connectionist Systems (Wiley Professional Computing) - Softcover

Über die Autorin bzw. den Autor

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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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