Soft Computing Based Modeling in Intelligent Systems

The book includes soft computing implementations of intelligent systems models. The recent popularity of fuzzy systems, neural networks and evolutionary computation, considered as related in AI, are now widely used to build intelligent systems. Professor Lotfi A. Zadeh has suggested the term "S...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Balas, Valentina Emilia. (Editor), Fodor, Jǹos. (Editor), Vr̀konyi-Kc̤zy, Annamr̀ia R. (Editor)
Format: Electronic
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2009.
Series:Studies in Computational Intelligence, 196
Subjects:
Online Access:https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-3-642-00448-3
Table of Contents:
  • Soft Computing Methods for Global, Local and Personalized Modeling and Applications in Bioinformatics
  • Orthosymmetry aspects of aggregation operators
  • MOGA design of neural network predictors of inside temperature in public buildings
  • Model Based Anytime Soft Computing Approaches in Engineering Applications
  • A multi-structure modeling methodology
  • The Generalized Dombi operator family and the multiplicative utility function
  • Multi-channel representations of max-plus algebra based wavelet transform and their application to video coding
  • The Fuzzy-Interpolative Methodology
  • Interpolative-Type Control Solutions.