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The Importance of Being Fuzzy: And Other Insights from the Border Between Math and Computers
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by
Arturo Sangalli
How has computer science changed mathematical thinking? In this first ever comprehensive survey of the subject for popular science readers, Arturo Sangalli explains how computers have brought a new practicality to mathematics and mathematical applications. By using fuzzy logic and related concepts, programmers have been able to sidestep the ...
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C++ Neural Networks and Fuzzy Logic
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by
Valluru B Rao
This text teaches the core concepts of fuzzy logic and neural network technologies, including back propagation and adaptive resonance theory. It includes practical applications demonstrating pattern recognition, optimization and financial modelling. The disk includes all the source code discussed.
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Fuzzy Logic for the Management of Uncertainty
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by
Lofti Zadeh, Janusz Kacprzyk
Reasoning based on approximate or uncertain information is an essential human ability which should be adequately reflected in any intelligent system intended to emulate human behaviour. However, until recently the study of the field of fuzzy logic has only been seriously undertaken in Japan where it is widely applied. Europe and the USA are now ...
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Fuzzy Database Modeling with XML
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by
Zongmin Ma, PH.D.
"Fuzzy Database Modeling with XML" aims to provide a single record of current research and practical applications in the fuzzy databases. This volume is the outgrowth of research the author has conducted in recent years. "Fuzzy Database Modeling with XML" introduces state-of-the-art information to the database research, while at the same time ...
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Fuzzy Thinking: The New Science of Fuzzy Logic
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by
Bart Kosko, Ph.D.
A washing machine that gauges each load to determine how much soap to use? An air conditioner that constantly adjusts cooling strength based on room temperature? These "smart" products are possible with the advent of "fuzzy logic", the principle that's revolutionizing science. Now, its chief proponent presents a brilliant, popular account of the ...
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Neural Networks and Fuzzy Systems: A Dynamical Systems Approach to Machine Intelligence
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by
Bart Kosko, Ph.D.
Combining neural networks and fuzzy systems, this presents neural networks as trainable dynamical systems and develops mechanisms and principles of adaption, self-organization, covergence and global stability. It also includes the new geometric theory of fuzzy sets, systems and associative memories. Kosko shows how to apply fuzzy theory to ...
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Flexible Neuro-Fuzzy Systems
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by
Leszek Rutkowski
"Flexible Neuro-Fuzzy Systems" is the first professional literature about the new class of powerful, flexible fuzzy systems. The author incorporates various flexibility parameters to the construction of neuro-fuzzy systems. This approach dramatically improves their performance, allowing the systems to perfectly represent the pattern encoded in ...
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Fuzzy Logic
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by
Dan McNeill, Paul Freiberger
"Fuzzy logic" is a way to program computers so that they can mimic the imprecise way that humans make decisions. This technology allows for many innovative applications, including cars that virtually drive themselves, washing machines that pick the right wash cycles and water temperature automatically and air conditioning and heaters that adjust ...
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Neural Network and Fuzzy Logic Applications in C/C++
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by
Stephen T Welstead
Using an engineering and science perspective, it explores diverse neural network, fuzzy logic and genetic algorithm techniques, plus developing applications best suited for each of the methods discussed. Sample results are described and judgment made as to how well each application worked. The book/disk set includes an object-oriented user ...
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Fuzzy Sets, Uncertainty & Information
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by
Costas Papa, George J Klir
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Learning from Data: Concepts, Theory, and Methods
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by
Vladimir Cherkassky, Filip M Mulier
An interdisciplinary framework for learning methodologies-covering statistics, neural networks, and fuzzy logic This book provides a unified treatment of the principles and methods for learning dependencies from data. It establishes a general conceptual framework in which various learning methods from statistics, neural networks, and fuzzy logic ...
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Neuro-Fuzzy and Soft Computing: A Computational Approach to Learning and Machine Intelligence
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by
Jyh-Shing Roger Jang, J S R Jang, Chuen-Tsai Sun
Intended for use in courses on computational intelligence at either the college senior or first-year graduate level. This text provides the first comprehensive treatment of the methodologies underlying neuro-fuzzy and soft computing, an evolving branch within the scope of computational intelligence. The book places equal emphasis on theoretical ...
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Fuzzy Systems and Soft Computing in Nuclear Engineering
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by
Da Ruan (Editor)
This book is an organized edited collection of twenty-one contributed chapters covering nuclear engineering applications of fuzzy systems, neural networks, genetic algorithms and other soft computing techniques. All chapters are either updated review or original contributions by leading researchers written exclusively for this volume. The volume ...
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Fuzzy Logic, Identification and Predictive Control
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by
Jairo Espinosa, Joos Vandewalle, Vincent Wertz
The complexity and sensitivity of modern industrial processes and systems increasingly require adaptable advanced control protocols. These controllers have to be able to deal with circumstances demanding "judgement" rather than simple "yes/no," "on/off" responses, circumstances where an imprecise linguistic description is often more relevant than ...
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Fuzzy Control: Theory and Practice
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by
R Hample, Michael Wagenknecht (Editor), Nasredin Chaker (Editor)
The present edited volume is of special importance, and for various reasons: First of all, it is a most comprehensive and multifaceted coverage of broadly perceived fuzzy control in the literature. The editors have succeeded to collect papers from leading scholars and researchers on various subjects related to the topic of the volume. What is ...
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Fuzzy Control Systems
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by
Kandel, Langholz
"Fuzzy Control Systems" explores one of the most active areas of research involving fuzzy set theory. The contributors address basic issues concerning the analysis, design, and application of fuzzy control systems. Divided into three parts, this book first devotes itself to the general theory of fuzzy control systems. The second part deals with a ...
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Fuzzy Modeling and Fuzzy Control
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by
Huaguang Zhang, Derong Liu
Fuzzy logic methodology has been proven effective in dealing with complex nonlinear systems containing uncertainties that are otherwise difficult to model. Technology based on this methodology has been applied to many real-world problems, especially in the area of consumer products. This book presents the first unified and thorough treatment of ...
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Fuzzy Control: Synthesis and Analysis
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by
Shehu S Farin Wata, Shehu S Farinwata (Editor), Dimitar P Filev
Application-oriented work is one of the strongest and most rapidly expanding areas in fuzzy control and a variety of fuzzy modelling approaches are now appearing. Of particular interest are new and recent directions in synthesis, stability and robustness analysis, adaptiveness and non-linear tracking systems. Addressing the two areas of synthesis ...
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An Introduction to Fuzzy Control
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by
Dimiter Driankov
Fuzzy controllers are a class of knowledge based controllers using artificial intelligence techniques with origins in fuzzy logic. They can be found either as stand-alone control elements or as integral parts of a wide range of industrial process control systems and consumer products. Applications of fuzzy controllers are an established practice ...
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Model Based Fuzzy Control
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by
Rainer Palm, Dimiter Driankov, Hans Hellendoorn
Model Based Fuzzy Control uses a given conventional or fuzzy open loop model of the plant under control to derive the set of fuzzy rules for the fuzzy controller. Of central interest are the stability, performance, and robustness of the resulting closed loop system. The major objective of model based fuzzy control is to use the full range of ...
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Large Scale Systems with Fussy and Neural Net Applications: Towards High Machine Intelligence Quotient Systems
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Mohammad Jamshidi, Serge Boverie, Lofti A Zadeh
12568-2 How Large is Large? One definition of large-scale systems is that they are capable of partitioning into subsystems for computational or practical reasons. Another viewpoint defines any system as "large" if conventional techniques of modeling, analysis, and control fail to yield reasonable solutions with reasonable computational efforts. ...
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Decision Criteria and Optimal Inventory Processes
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by
Baoding Liu (Editor), Augustine O Esogbue (Editor)
"Decision Criteria and Optimal Inventory Processes" provides a theoretical and practical introduction to decision criteria and inventory processes. Inventory theory is presented by focusing on the analysis and processes underlying decision criteria. Included are many state-of-the-art criterion models as background material. These models are ...
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The foundations of fuzzy control
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by
Harold W Lewis
Harold Lewis applied a cross-disciplinary approach in his highly accessible discussion of fuzzy control concepts. With the aid of fifty-seven illustrations, he thoroughly presents a unique mathematical formalism to explain the workings of the fuzzy inference engine and a novel test plant used in the research. Additionally, the text posits a new ...
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Foundations of Fuzzy Control
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by
Jan Jantzen
Fuzzy logic is key to the efficient working of many consumer, industrial and financial applications. Providing a brief history of the subject as well as analysing the system architecture of a fuzzy controller, this book gives a full and clearly set out introduction to the topic. As an essential guide to this subject for many engineering ...
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Fuzzy Systems Engineering: Toward Human-Centric Computing
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by
Witold Pedrycz, Fernando Gomide
This is a self-contained treatment of fuzzy systems engineering, offering conceptual fundamentals, design methodologies, development guidelines, and carefully selected illustrative material. Forty years have passed since the birth of fuzzy sets, in which time a wealth of theoretical developments, conceptual pursuits, algorithmic environments, and ...
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