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

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

Neural Networks in C++: An Object-Oriented Framework for Building Connectionist
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Neural Networks in C++: An Object-Oriented Framework for Building Connectionist Systems Paperback - 1992 - 1st Edition

by Adam Blum

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

  • Title Neural Networks in C++: An Object-Oriented Framework for Building Connectionist Systems
  • Author Adam Blum
  • Binding Paperback
  • Edition number 1st
  • Edition [ Edition: First ]
  • Condition Used - Fair Condition
  • Pages 224
  • Volumes 1
  • Language ENG
  • Publisher Wiley, Somerset, New Jersey, U.S.A.
  • Publication date 1992-05
  • Illustrated Yes
  • Bookseller's Inventory # 6898793
  • ISBN 9780471552017 / 0471552011
  • Weight 1.05 lbs (0.48 kg)
  • Dimensions 9.3 x 7.5 x 0.61 in (23.62 x 19.05 x 1.55 cm)
  • Category Computers - General Information
  • Library of Congress subjects Object-oriented programming (Computer, Neural networks (Computer science)
  • Library of Congress Catalogue Number 91039648
  • Dewey Decimal Code 006.3
  • Quantity available 1

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

From the publisher

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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