Soft Computing In Systems And Control Technology
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Soft Computing In Systems And Control Technology: (18 World Scientific Series In Robotics And Intelligent Systems)

Soft Computing In Systems And Control Technology: (18 World Scientific Series In Robotics And Intelligent Systems)

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About the Book

Soft computing is a branch of computing which, unlike hard computing, can deal with uncertain, imprecise and inexact data. The three constituents of soft computing are fuzzy-logic-based computing, neurocomputing, and genetic algorithms. Fuzzy logic contributes the capability of approximate reasoning, neurocomputing offers function approximation and learning capabilities, and genetic algorithms provide a methodology for systematic random search and optimization. These three capabilities are combined in a complementary and synergetic fashion.This book presents a cohesive set of contributions dealing with important issues and applications of soft computing in systems and control technology. The contributions include state-of-the-art material, mathematical developments, fresh results, and how-to-do issues. Among the problems studied via neural, fuzzy, neurofuzzy and genetic methodologies are: data fusion, reinforcement learning, approximation properties, multichannel imaging, signal processing, system optimization, gaming, and several forms of control.The book can serve as a reference for researchers and practitioners in the field. Readers can find in it a large amount of useful and timely information, and thus save considerable effort in searching for other scattered literature.

Table of Contents:
Neural networks in systems identification and control - supervised learning in multilayer perceptions - the back-propagation algorithm; identification of two-dimensional state space discrete systems using neural networks; neural networks for control; neuro-based adaptive regulator; local model networks and self-tuning predictive control; fuzzy and neuro-fuzzy systems in modelling, control and robot path planning - an on-line self constructing fuzzy modelling architecture based on neural and fuzzy concepts and techniques; neuro-fuzzy model-based control; fuzzy and neurofuzzy approaches to mobile robot path and motion planning under uncertainty; genetic-evolutionary algorithms - a tutorial overview of genetic algorithms and their applications; results from a variety of genetic algorithm applications showing the robustness of the approach; evolutionary algorithms in computer-aided design of integrated circuits; soft computing applications - soft data fusion; application of neural networks to computer gaming; coherent neural networks and their applications to control and signal processing; neural, fuzzy and evolutionary reinforcement learning systems - an application case study; neural networks in industrial and environmental applications.


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Product Details
  • ISBN-13: 9789810233815
  • Publisher: World Scientific Publishing Co Pte Ltd
  • Publisher Imprint: World Scientific Publishing Co Pte Ltd
  • Language: English
  • Series Title: 18 World Scientific Series In Robotics And Intelligent Systems
  • ISBN-10: 9810233817
  • Publisher Date: 25 May 1999
  • Binding: Hardback
  • No of Pages: 508


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