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WIE Neural Networks in C++: An Object–Oriented Framework for Building Connectionist Systems (Wiley Professional Computing) - Softcover
Synopsis
Following an introduction to neural networks, this text describes the basics of object-orientation for potential users. Sample applications are developed and demonstrated in a variety of areas, including image recognition, text processing and forecasting. Program listings for the these applications are provided in their entirety using Borland C++ code compatible with Zortech C++ and Microsoft C.
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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.
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
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