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Book review: Fundamentals of Artificial Neural Networks by Mohamad H. Hassoun (MIT PRESS, 1996)

Published:01 December 1997Publication History
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Abstract

The field of artificial neural networks has grown substantially in recent years accompanied by an increased number of neural networks textbooks. These books attempt to give a broad introduction to both the theory and use of neural networks, such as (Hertz, 1991), (Kung, 1993), (Haykin, 1994), and (Rojas, 1996). Hassoun's book, like these, is a very good textbook for first year undergraduate students who are learning the computational abilities of neural networks. In addition it has some value to researchers because recent advances are covered.

References

  1. Hertz, J., Krogh, A. and Palmer, R. G. Introduction to the Theory of Neural Computation. Adisson-Wesley, 1991. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Kung, S. Y. Digital Neural Networks. Prentice Hall, 1993 Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Haykin, S. Neural Networks: A Comprehensive Foundation. Macmillan, 1994. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Rojas, R. Neural Networks: A Systematic Introduction. Springer-Verlag, 1996. Google ScholarGoogle ScholarDigital LibraryDigital Library

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        • Published in

          cover image ACM SIGART Bulletin
          ACM SIGART Bulletin  Volume 8, Issue 1-4
          1997
          32 pages
          ISSN:0163-5719
          DOI:10.1145/272874
          Issue’s Table of Contents

          Copyright © 1997 Author

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          Association for Computing Machinery

          New York, NY, United States

          Publication History

          • Published: 1 December 1997

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