Adaptive Resonance Theory Microchips: Circuit Design Techniques (The Springer International Series in Engineering and Computer Science) 1998th Edition

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ISBN-13: 000-0792382315
ISBN-10: 0792382315
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Product Details

  • Series: The Springer International Series in Engineering and Computer Science (Book 456)
  • Hardcover: 234 pages
  • Publisher: Springer; 1998 edition (August 31, 1998)
  • Language: English
  • ISBN-10: 0792382315
  • ISBN-13: 978-0792382317
  • Product Dimensions: 6.1 x 0.7 x 9.2 inches
  • Shipping Weight: 1.1 pounds (View shipping rates and policies)
  • Average Customer Review: 4.0 out of 5 stars  See all reviews (1 customer review)
  • Amazon Best Sellers Rank: #9,419,141 in Books (See Top 100 in Books)

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1 of 1 people found the following review helpful By Ethel Airton Capuano on September 29, 2000
Format: Hardcover
Congratulations to the authors! It is a really good book on Adaptive Resonance Theory (ART) Neural Networks. It worth it each dollar you pay for and might be read by every student or professional interested in applications aimed to datamining with unsupervised ANN. Well written and very practical, this book presents all the knowledge the computing professional needs to bring the ART models down to Earth and enjoy a lot with examples of applications on MATLAB code. After almost 1.000 trials on ART1 and Fuzzy-ART codes presented by the authors, the euclidian space of the resulting domain and image parameters comparison which I came to was the same one presented in the book, proving the solid author's background and the code's value. In fact, a lot of MATLAB background is required to test the codes (unfortunatelly, the Fuzzy implementation performs two dimensions input vectors only). The book do not get a "5" degree, in my opinion, because it do not present ART2 algorithm. I have made some modifications on the original codes (ART1 and Fuzzy-ART) to run input vectors with unlimited dimensions, which proved its value when tested with a lot of data (in fact, I am using the codes for my IT Master thesis).
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Adaptive Resonance Theory Microchips: Circuit Design Techniques (The Springer International Series in Engineering and Computer Science)
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