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Learning and Soft Computing - (Complex Adaptive Systems) by Vojislav Kecman (Paperback)

Learning and Soft Computing - (Complex Adaptive Systems) by  Vojislav Kecman (Paperback) - 1 of 1
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About this item

Highlights

  • This textbook provides a thorough introduction to the field of learning from experimental data and soft computing.
  • About the Author: Vojislav Kecman is Associate Professor in the School of Engineering at Virginia Commonwealth University.
  • 576 Pages
  • Computers + Internet, Intelligence (AI) & Semantics
  • Series Name: Complex Adaptive Systems

Description



Book Synopsis



This textbook provides a thorough introduction to the field of learning from experimental data and soft computing. Support vector machines (SVM) and neural networks (NN) are the mathematical structures, or models, that underlie learning, while fuzzy logic systems (FLS) enable us to embed structured human knowledge into workable algorithms. The book assumes that it is not only useful, but necessary, to treat SVM, NN, and FLS as parts of a connected whole. Throughout, the theory and algorithms are illustrated by practical examples, as well as by problem sets and simulated experiments. This approach enables the reader to develop SVM, NN, and FLS in addition to understanding them. The book also presents three case studies: on NN-based control, financial time series analysis, and computer graphics. A solutions manual and all of the MATLAB programs needed for the simulated experiments are available.



About the Author



Vojislav Kecman is Associate Professor in the School of Engineering at Virginia Commonwealth University.

Dimensions (Overall): 8.9 Inches (H) x 7.0 Inches (W) x 1.3 Inches (D)
Weight: 2.0 Pounds
Suggested Age: 22 Years and Up
Series Title: Complex Adaptive Systems
Sub-Genre: Intelligence (AI) & Semantics
Genre: Computers + Internet
Number of Pages: 576
Publisher: MIT Press
Format: Paperback
Author: Vojislav Kecman
Language: English
Street Date: June 8, 2001
TCIN: 93893480
UPC: 9780262527903
Item Number (DPCI): 247-19-7629
Origin: Made in the USA or Imported
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Shipping details

Estimated ship dimensions: 1.3 inches length x 7 inches width x 8.9 inches height
Estimated ship weight: 2 pounds
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