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 ...
"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 ...
This carefully edited book presents an up-to-date state of current research in the use of fuzzy sets and their extensions, paying attention to foundation issues and to their application to four important areas where fuzzy sets are seen to be an important tool for modelling and solving problems. The book contains 34 chapters divided into two parts. ...
In the last decade, new artificial intelligence methods for the modelling and control of complex systems, namely neural networks, fuzzy logic and probabilistic reasoning have drawn the interest of researchers and engineers. Recently, the advantages achievable by using combinations of these methods, which have independent origin and evolution, have ...
Telecommunications has evolved and grown at an explosive rate in recent years and will undoubtedly continue to do so. As its functions, applications, and technology grow, it becomes increasingly complex and difficult, if not impossible, to meet the demands of a global network using conventional computing technologies. Computational intelligence ...
The physics of metal forming and metal removing is normally expressed using non-linear partial differential equations which can be solved using the finite element method (FEM). However, when the process parameters are uncertain and/or the physics of the process is not well understood, soft computing techniques can be used with FEM or alone to ...
"Knowledge-Based Intelligent Techniques in Character Recognition" presents research results on intelligent character recognition techniques, reflecting the tremendous worldwide interest in the applications of knowledge-based techniques in this challenging field. This resource will interest anyone involved in computer science, computer engineering, ...
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 ...
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 ...
This textbook provides an introduction to the field of learning from experimental data and soft computing. Support vector machines (SVM) and neural networks (NN) are the mathematical structures, or models, that underlie learning, while fuzzy logic systems (FLS) enable us to embed structured human knowledge into workable algorithms. The book ...
The current attempt to emulate human sapience (wisdom) by artificial means should be a step in the right direction beyond the Artificial/Computational Intelligence and Soft Computing disciplines, but is it warranted? Have humans achieved a level of modeling smart systems that justifies talking about sapience-wisdom? This book presents ...
Hard boundaries have traditionally existed between such fields as fuzzy systems, neural networks, genetic algorithms, chaotic systems and expert systems. Gradually those boundaries are tending to vanish and 'soft computing' - based systems that mix these different approaches have begun to emerge. "Soft Computing Techniques in Human-Related ...
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 ...
Information retrieval (IR) aims at defining systems able to provide a fast and effective content-based access to a large amount of stored information. The aim of an IR system is to estimate the relevance of documents to users' information needs, expressed by means of a query. This is a very difficult and complex task, since it is pervaded with ...
Since their very inception, both fuzzy and rough set theories have earned a sound, well-deserved reputation owing to their intrinsic capabilities to model uncertainty coming from the real world. The increasing amount of investigations on both subjects reported every year in the literature vouches for the dynamics of the area and its rapid ...
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 ...
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 ...
The book introduces and discusses the future trends in computer science and artificial intelligence. These trends include image and speech technologies; virtual reality and multimedia systems; evolving systems and artificial life; artificial and natural neural networks; brain-computers; the Web, the intelligent agents on it, and the distributed ...
The 2005 BISC International Special Event-BISCSE'05 'Forging the frontiers' was held in the University of California, Berkeley, 'Where fuzzy logic began', from November 3-6, 2005. The successful applications of fuzzy logic and it's rapid growth suggest that the impact of fuzzy logic will be felt increasingly in coming years. Fuzzy logic is likely ...
Symbolic processing has limitations highlighted by the symbol grounding problem. Computational processing methods, like fuzzy logic, neural networks, and statistical methods have appeared to overcome these problems. However, they also suffer from drawbacks in that, for example, multi-stage inference is difficult to implement. Deep fusion of ...
This text contains courses that can be taught in business schools and operations research departments in addition to the usual computer science, mathematics and engineering courses. Uncertain programming is directly related to methods of constructing decision support systems, software capable of analyzing complex situations (such as in the stock ...
This work collects some 47 research papers that were presented in June 1997 at the 2nd Online World Conference on Soft Computing. It covers the state-of-the-art techniques and applications of soft computing which will stimulate further advances towards the next generation of intelligent machines. The papers are organized into eight sections which ...
Simultaneous considerations of multiobjectiveness, fuzziness and block angular structures involved in the real-world decision making problems lead us to the new field of interactive multiobjective optimization for large scale programming problems under fuzziness. The aim of this book is to introduce the latest advances in the new field of ...
Provides a self-contained description of this important aspect of information processing and decision support technology. Presents basic definitions, principles, applications, and a detailed bibliography. Covers a range of real-world examples including control, data mining, and pattern recognition.
The book is divided into eight parts whose topics are chosen to emphasize application areas of logic, in particular those related to soft computing. Each part demonstrates possible application of logical methods to problems in the respective areas. The book presents a broad variety of fields and issues in which logic provides conceptual, technical ...
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