Neural Networks in C++: An Object-Oriented Framework for Building Connectionist Systems

Adam Blum

ISBN 10: 0471552011 / ISBN 13: 9780471552017

Published by Wiley, 1992

About this Item

[ No Hassle 30 Day Returns ][ Ships Daily ] [ Underlining/Highlighting: NONE ] [ Writing: NONE ] [ Edition: First ] Publisher: Wiley Pub Date: 6/21/1992 Binding: paperback Pages: 224 First edition.

Seller Inventory # 6898793

Bibliographic Details

• Title: Neural Networks in C++: An Object-Oriented Framework for Building Connectionist Systems
• Publisher: Wiley
• Publication Date: 1992
• Language: English
• ISBN 10: 0471552011
• ISBN 13: 9780471552017
• Binding: Soft cover
• Condition: Fair

About this title

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.