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Download the fantastic book titled Soft Computing in Systems and Control Technology written by S. G. Tzafestas, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Soft Computing in Systems and Control Technology", which was released on 02 June 1999. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Computers genre.

Summary of Soft Computing in Systems and Control Technology by S. G. Tzafestas PDF

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.


Detail About Soft Computing in Systems and Control Technology PDF

  • Author : S. G. Tzafestas
  • Publisher : World Scientific
  • Genre : Computers
  • Total Pages : 516 pages
  • ISBN : 9789810233815
  • PDF File Size : 39,9 Mb
  • Language : English
  • Rating : 4/5 from 21 reviews

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Soft Computing in Systems and Control Technology

Soft Computing in Systems and Control Technology
  • Publisher : World Scientific
  • File Size : 41,7 Mb
  • Release Date : 02 June 1999
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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

Advances in Future Computer and Control Systems

Advances in Future Computer and Control Systems
  • Publisher : Springer Science & Business Media
  • File Size : 44,7 Mb
  • Release Date : 13 April 2012
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FCCS2012 is an integrated conference concentrating its focus on Future Computer and Control Systems. “Advances in Future Computer and Control Systems” presents the proceedings of the 2012 International Conference on Future

Soft Computing

Soft Computing
  • Publisher : Springer Science & Business Media
  • File Size : 50,7 Mb
  • Release Date : 20 August 2008
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This book is an introduction to some new fields in soft computing with its principal components of fuzzy logic, ANN and EA. The approach in this book is to provide

Soft Computing and Intelligent Systems

Soft Computing and Intelligent Systems
  • Publisher : Elsevier
  • File Size : 25,8 Mb
  • Release Date : 28 October 1999
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The field of soft computing is emerging from the cutting edge research over the last ten years devoted to fuzzy engineering and genetic algorithms. The subject is being called soft

Applied Soft Computing

Applied Soft Computing
  • Publisher : CRC Press
  • File Size : 49,8 Mb
  • Release Date : 03 February 2022
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This new volume explores a variety of modern techniques that deal with estimated models and give resolutions to complex real-life issues. Soft computing has played a crucial role not only

Modelling, Simulation and Control of Non-linear Dynamical Systems

Modelling, Simulation and Control of Non-linear Dynamical Systems
  • Publisher : CRC Press
  • File Size : 30,7 Mb
  • Release Date : 25 October 2001
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These authors use soft computing techniques and fractal theory in this new approach to mathematical modeling, simulation and control of complexion-linear dynamical systems. First, a new fuzzy-fractal approach to automated