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Fuzzy Logic and Intelligent Systems

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Release : 2007-07-07
Genre : Mathematics
Kind : eBook
Book Rating : 002/5 ( reviews)

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Book Synopsis Fuzzy Logic and Intelligent Systems by : Hua Harry Li

Download or read book Fuzzy Logic and Intelligent Systems written by Hua Harry Li. This book was released on 2007-07-07. Available in PDF, EPUB and Kindle. Book excerpt: One of the attractions of fuzzy logic is its utility in solving many real engineering problems. As many have realised, the major obstacles in building a real intelligent machine involve dealing with random disturbances, processing large amounts of imprecise data, interacting with a dynamically changing environment, and coping with uncertainty. Neural-fuzzy techniques help one to solve many of these problems. Fuzzy Logic and Intelligent Systems reflects the most recent developments in neural networks and fuzzy logic, and their application in intelligent systems. In addition, the balance between theoretical work and applications makes the book suitable for both researchers and engineers, as well as for graduate students.

Industrial Applications of Fuzzy Logic and Intelligent Systems

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Author :
Release : 1995
Genre : Computers
Kind : eBook
Book Rating : /5 ( reviews)

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Book Synopsis Industrial Applications of Fuzzy Logic and Intelligent Systems by : John Yen

Download or read book Industrial Applications of Fuzzy Logic and Intelligent Systems written by John Yen. This book was released on 1995. Available in PDF, EPUB and Kindle. Book excerpt: Introduction to fuzzy logic control. History of industrial applications of fuzzy logic in Japan. Fuzzy logic applications at OMRON Corporation. Survey of fuzzy logic applications in image-processing equipment. Applications of neural networks and fuzzy logic to consumer products. Knowledge processing based on fuzzy associative memory and its application to a helicopter control. Fuzzy logic hierarchical controller for a recuperative turboshaft engine: from mode selection to mode melding. Progress in reseacrh on autonomous vehicle motion planning. Autonomous navigation of a mobile robot using the behaviorist theory and VLSI fuzzy inferencing chips. Artificial intelligence, fuzzy logic, and sensor clusters. Intelligent sensor systems for space operations. Two automated tuning methods for fuzzy logic-based process control. On fuzzy control of nonchlorofluorocarbon air-conditioning systems. Fuzzy logic applications in Europe. Software tools for fuzzy control.

An Introduction to Fuzzy Logic Applications in Intelligent Systems

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Release : 2012-12-06
Genre : Computers
Kind : eBook
Book Rating : 405/5 ( reviews)

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Book Synopsis An Introduction to Fuzzy Logic Applications in Intelligent Systems by : Ronald R. Yager

Download or read book An Introduction to Fuzzy Logic Applications in Intelligent Systems written by Ronald R. Yager. This book was released on 2012-12-06. Available in PDF, EPUB and Kindle. Book excerpt: An Introduction to Fuzzy Logic Applications in Intelligent Systems consists of a collection of chapters written by leading experts in the field of fuzzy sets. Each chapter addresses an area where fuzzy sets have been applied to situations broadly related to intelligent systems. The volume provides an introduction to and an overview of recent applications of fuzzy sets to various areas of intelligent systems. Its purpose is to provide information and easy access for people new to the field. The book also serves as an excellent reference for researchers in the field and those working in the specifics of systems development. People in computer science, especially those in artificial intelligence, knowledge-based systems, and intelligent systems will find this to be a valuable sourcebook. Engineers, particularly control engineers, will also have a strong interest in this book. Finally, the book will be of interest to researchers working in decision support systems, operations research, decision theory, management science and applied mathematics. An Introduction to Fuzzy Logic Applications in Intelligent Systems may also be used as an introductory text and, as such, it is tutorial in nature.

Fuzzy and Neuro-Fuzzy Intelligent Systems

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Release : 2012-08-10
Genre : Computers
Kind : eBook
Book Rating : 534/5 ( reviews)

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Book Synopsis Fuzzy and Neuro-Fuzzy Intelligent Systems by : Ernest Czogala

Download or read book Fuzzy and Neuro-Fuzzy Intelligent Systems written by Ernest Czogala. This book was released on 2012-08-10. Available in PDF, EPUB and Kindle. Book excerpt: Intelligence systems. We perfonn routine tasks on a daily basis, as for example: • recognition of faces of persons (also faces not seen for many years), • identification of dangerous situations during car driving, • deciding to buy or sell stock, • reading hand-written symbols, • discriminating between vines made from Sauvignon Blanc, Syrah or Merlot grapes, and others. Human experts carry out the following: • diagnosing diseases, • localizing faults in electronic circuits, • optimal moves in chess games. It is possible to design artificial systems to replace or "duplicate" the human expert. There are many possible definitions of intelligence systems. One of them is that: an intelligence system is a system able to make decisions that would be regarded as intelligent ifthey were observed in humans. Intelligence systems adapt themselves using some example situations (inputs of a system) and their correct decisions (system's output). The system after this learning phase can make decisions automatically for future situations. This system can also perfonn tasks difficult or impossible to do for humans, as for example: compression of signals and digital channel equalization.

Design of Logic-based Intelligent Systems

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Release : 2004-05-20
Genre : Technology & Engineering
Kind : eBook
Book Rating : 035/5 ( reviews)

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Book Synopsis Design of Logic-based Intelligent Systems by : Klaus Truemper

Download or read book Design of Logic-based Intelligent Systems written by Klaus Truemper. This book was released on 2004-05-20. Available in PDF, EPUB and Kindle. Book excerpt: Principles for constructing intelligent systems Design of Logic-based Intelligent Systems develops principles and methods for constructing intelligent systems for complex tasks that are readily done by humans but are difficult for machines. Current Artificial Intelligence (AI) approaches rely on various constructs and methods (production rules, neural nets, support vector machines, fuzzy logic, Bayesian networks, etc.). In contrast, this book uses an extension of propositional logic that treats all aspects of intelligent systems in a unified and mathematically compatible manner. Topics include: * Levels of thinking and logic * Special cases: expert systems and intelligent agents * Formulating and solving logic systems * Reasoning under uncertainty * Learning logic formulas from data * Nonmonotonic and incomplete reasoning * Question-and-answer processes * Intelligent systems that construct intelligent systems Design of Logic-based Intelligent Systems is both a handbook for the AI practitioner and a textbook for advanced undergraduate and graduate courses on intelligent systems. Included are more than forty algorithms, and numerous examples and exercises. The purchaser of the book may obtain an accompanying software package (Leibniz System) free of charge via the internet at leibnizsystem.com.

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