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Intelligent Control Systems Using Computational Intelligence Techniques (IEE Control Series) (IEE Control Series)

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Published by IEE .
Written in English

Subjects:

  • Artificial intelligence,
  • Automatic control engineering,
  • Technology & Industrial Arts,
  • Computer Engineering,
  • Computers,
  • Computer Books: General,
  • Artificial Intelligence - General,
  • Automation,
  • Engineering - Electrical & Electronic,
  • Technology / Engineering / Electrical

Book details:

The Physical Object
FormatHardcover
Number of Pages667
ID Numbers
Open LibraryOL9623200M
ISBN 100863414893
ISBN 109780863414893

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Find helpful customer reviews and review ratings for Intelligent Control Systems using Computational Intelligence Techniques (Control, Robotics and Sensors) at Read honest and unbiased product reviews from our users.4/5. Get this from a library! Intelligent control systems using computational intelligence techniques. [A E Ruano; Institution of Electrical Engineers.;] -- "Intelligent Control techniques are becoming important tools in both academia and industry. Methodologies developed in the field of soft-computing, such as neural networks, fuzzy systems and. Intelligent Control Systems Using Computational Intelligence Techniques details the application of these tools to the field of control systems. Each chapter gives an overview of current approaches in the topic covered, with a set of the most important set references in the field, and then details the author s approach, examining both the theory. Antonio Ruano, Intelligent Control Systems Using Computational Intelligence Techniques, Institution of Engineering and Technology, Y. Sin and C. Xu, Intelligent Systems: Modeling, Optimization, and Control, CRC Press, Lefteri H. Tsoukalas and Robert E. Uhrig, Fuzzy and Neural Approaches in Engineering, Wiley-Interscience,

This book highlights the latest research in computational intelligence and its applications. It covers both conventional and trending approaches in individual chapters on Fuzzy Systems, Intelligence in Robotics, Deep Learning Approaches, Optimization and Classification, Detection, Inference and Prediction, Hybrid Methods, Emerging Intelligence, Intelligent Health Care, and Engineering Data.   Buildings are responsible for 40% of global energy use and contribute towards 30% of the total CO2 emissions. The drive to reduce energy use and associated greenhouse gas emissions from buildings has acted as a catalyst in the development of advanced computational methods for energy efficient design, management and control of buildings and by: The central scientific goal of computational intelligence is to understand the prin-ciples that make intelligent behavior possible, in natural or artificial systems. The main hypothesis is that reasoning is computation. The central engineering goal is to specify methods File Size: 63KB. Intelligent control systems using computational intelligence techniques. London: Institution of Electrical Engineers, (DLC) (OCoLC) Material Type: Document, Internet resource: Document Type: Internet Resource, Computer File: All Authors / Contributors: A E Ruano; Institution of Electrical Engineers.

The book includes peer-reviewed innovative research papers from the International Conference on Signals, Machines and Automation. It includes ideas, information, techniques and applications in computational intelligence, artificial intelligence and machine intelligence from academia and industry. The subject is being called soft computing and computational intelligence. With acceptance of the research fundamentals in these important areas, the field is expanding into direct applications through engineering and systems science. This book cover the fundamentals of this emerging filed, as well as direct applications and case studies. Intelligent Control Systems using Computational Intelligence Techniques Examining both the theory and practical applications of intelligent control techniques, this book details the applications of neural networks, fuzzy systems and evolutionary computation to the field of control systems.   Computational Intelligence: Principles, Techniques and Applications presents both theories and applications of computational intelligence in a clear, precise and highly comprehensive style. The textbook addresses the fundamental aspects of fuzzy sets and logic, neural networks, evolutionary computing and belief networks. The application areas include fuzzy databases, fuzzy control, image 5/5(1).