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Fuzzy and neural approaches in engineering, matlab supplement / Lefteri H. Tsoukalas, Robert E. Uhrig, Lotfi A. Zadeh.

By: Contributor(s): Material type: TextTextSeries: Adaptive and learning systems for signal processing, communications and control seriesPublication details: [S.l.] : Wiley-Interscience, 1997.Edition: 1st edDescription: 210 p. ; 28 cmISBN:
  • 0471192473 (paperback)
  • 9780471192473 (paperback)
Online resources: Summary: Neural networks and fuzzy systems represent two distinct technologies that deal with uncertainty. This definitive book presents the fundamentals of both technologies, and demonstrates how to combine the unique capabilities of these two technologies for the greatest advantage. Steering clear of unnecessary mathematics, the book highlights a wide range of dynamic possibilities and offers numerous examples to illuminate key concepts. It also explores the value of relating genetic algorithms and expert systems to fuzzy and neural technologies.
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Item type Current library Collection Call number Status Barcode
Book Book Department of Mechanical and Aerospace Engineering Library NFIC 621.382 HIN (Browse shelf(Opens below)) Available IAAP000166

Neural networks and fuzzy systems represent two distinct technologies that deal with uncertainty. This definitive book presents the fundamentals of both technologies, and demonstrates how to combine the unique capabilities of these two technologies for the greatest advantage. Steering clear of unnecessary mathematics, the book highlights a wide range of dynamic possibilities and offers numerous examples to illuminate key concepts. It also explores the value of relating genetic algorithms and expert systems to fuzzy and neural technologies.

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