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eBook Fuzzy Theory Systems: Techniques and Applications epub

by Cornelius T. Leondes

eBook Fuzzy Theory Systems: Techniques and Applications epub
  • ISBN: 0124438709
  • Author: Cornelius T. Leondes
  • Genre: Techno
  • Subcategory: Computer Science
  • Language: English
  • Publisher: Academic Press; 1 edition (October 4, 1999)
  • Pages: 1777 pages
  • ePUB size: 1892 kb
  • FB2 size 1710 kb
  • Formats lrf doc mobi lrf


Unlike traditional computer logic involving clearly true and false decisions, a fuzzy logic system makes the best choice after weighing a range of contributing variables. In this way, the implementation of fuzzy logic algorithms in hardware/software systems achieves the best results in a wide variety of practical, real-world applications.

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Fuzzy system techniques applied to neural networks for modeling and control. Cornelius T. Leondes received his . Systematic design procedures for realizing fuzzy neural systems. Techniques for the design of rule-based expert systems. He is currently a Professor Emeritus at the University of California, Los Angeles. He has also served as the Boeing Professor at the University of Washington and as an adjunct professor at the University of California, San Diego.

Advances in Theory and Applications. by Cornelius T. Leondes. Books related to Neural Network Systems Techniques and Applications.

Cornelius T. Leondes - Fuzzy Logic and Expert Systems Applications (Neural Network Systems Techniques and . Leondes - Fuzzy Logic and Expert Systems Applications (Neural Network Systems Techniques and Applications). Leondes - Multidimensional Systems Signal Processing Algorithms and Application Techniques, Volume 77: Advances in Theory and Applications (Control and Dynamic Systems).

Автор: Cornelius T. Leondes Название: Fuzzy Theory Systems .

Applications of fuzzy theory (often referred to as "fuzzy logic") are maturing and multiplying at a phenomenal rate, and a comprehensive treatment of these real-world techniques and applications is now very timely. Unlike traditional computer logic involving clear true or false decisions, a fuzzy logic system chooses what is most true after "considering" several contributing and possibly conflicting variables. Examples of practical devices using fuzzy computer decision-making are thermostats that respond to a combination of temperature and humidity (comfort factors), an elevator that considers how crowded a car is rather than just its proximity to the desired floor, and a camera that integrates the variables affecting picture quality. These volumes will present a logical progression from implementation and modeling techniques to industrial/commercial applications to fuzzy neural and adaptive fuzzy systems.
eBooks Related to Fuzzy Theory Systems: Techniques and Applications
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