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.
The leading proponent of fuzzy logic--the most explosive new concept in science since chaos theory--shows how it will shape every aspect of life in the digital age, from politics and genetics to warfare, technology, and mortality.
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 ...
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 ...
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 ...
"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 ...
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 ...
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 ...
"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 ...
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 ...
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 ...
This text recasts and extends fuzzy systems in the language of function approximation. It applies these "smart" systems to a wide range of novel applications in engineering and knowledge processing. Each chapter contains a nontechnical overview and applications cover fields of controls, signal processing, communications, pattern recognition, ...
Intelligent systems try to achieve, through the use of computers, what we associate with intelligence - flexible, learning and adaptive activity like we find in the human brain. For the first time, this groundbreaking resource provides a detailed understanding of the analysis, design, and application of new intelligent systems in the biomedical ...
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 ...
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. ...
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 ...
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 ...
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 ...
"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 ...
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 ...
This book deals with fuzzy relational systems, i.e. with systems of fuzzy relations defined on a set. Fuzzy relational systems represent mathematical framework for fuzzy relational modeling which is the most successful part of fuzzy logic. The book deals with foundational aspects of fuzzy relational systems. It starts (Chapter 2) with motivations ...
Fuzzy logic allows computers to work with approximate or incomplete information. Fuzzy systems theory is thus useful for engineering and modeling applications that require a flexible and realistic decision-computing model. This text is a systematic exposition of fuzzy systems theory and its major aplications in industry and business. It provides ...
Pattern recognition is of great importance in many aspects of computer technologies, especially human-computer interactions. Voice recognition software, intelligent agents, and machine vision systems are all examples of technologies utilising pattern recognition. Written by an internationally known neural network expert, this book applies fuzzy ...
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Fuzzy Logic: The Revolutionary Computer Technology That Is Changing Our World
