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Compensatory Genetic Fuzzy Neural Networks And Their Applications

Compensatory Genetic Fuzzy Neural Networks And Their Applications
Author: Abraham Kandel
Publisher: World Scientific
Total Pages: 202
Release: 1998-08-22
Genre: Computers
ISBN: 981449657X

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This book presents a powerful hybrid intelligent system based on fuzzy logic, neural networks, genetic algorithms and related intelligent techniques. The new compensatory genetic fuzzy neural networks have been widely used in fuzzy control, nonlinear system modeling, compression of a fuzzy rule base, expansion of a sparse fuzzy rule base, fuzzy knowledge discovery, time series prediction, fuzzy games and pattern recognition. This effective soft computing system is able to perform both linguistic-word-level fuzzy reasoning and numerical-data-level information processing. The book also proposes various novel soft computing techniques.


Compensatory Genetic Fuzzy Neural Networks and Their Applications

Compensatory Genetic Fuzzy Neural Networks and Their Applications
Author: Yan-Qing Zhang
Publisher: World Scientific
Total Pages: 206
Release: 1998
Genre: Computers
ISBN: 9789810233495

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This book presents a powerful hybrid intelligent system based on fuzzy logic, neural networks, genetic algorithms and related intelligent techniques. The new compensatory genetic fuzzy neural networks have been widely used in fuzzy control, nonlinear system modeling, compression of a fuzzy rule base, expansion of a sparse fuzzy rule base, fuzzy knowledge discovery, time series prediction, fuzzy games and pattern recognition. This effective soft computing system is able to perform both linguistic-word-level fuzzy reasoning and numerical-data-level information processing. The book also proposes various novel soft computing techniques.


Fusion of Neural Networks, Fuzzy Systems and Genetic Algorithms

Fusion of Neural Networks, Fuzzy Systems and Genetic Algorithms
Author: Lakhmi C. Jain
Publisher: CRC Press
Total Pages: 366
Release: 2020-01-29
Genre: Computers
ISBN: 1000722945

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Artificial neural networks can mimic the biological information-processing mechanism in - a very limited sense. Fuzzy logic provides a basis for representing uncertain and imprecise knowledge and forms a basis for human reasoning. Neural networks display genuine promise in solving problems, but a definitive theoretical basis does not yet exist for their design. Fusion of Neural Networks, Fuzzy Systems and Genetic Algorithms integrates neural net, fuzzy system, and evolutionary computing in system design that enables its readers to handle complexity - offsetting the demerits of one paradigm by the merits of another. This book presents specific projects where fusion techniques have been applied. The chapters start with the design of a new fuzzy-neural controller. Remaining chapters discuss the application of expert systems, neural networks, fuzzy control, and evolutionary computing techniques in modern engineering systems. These specific applications include: direct frequency converters electro-hydraulic systems motor control toaster control speech recognition vehicle routing fault diagnosis Asynchronous Transfer Mode (ATM) communications networks telephones for hard-of-hearing people control of gas turbine aero-engines telecommunications systems design Fusion of Neural Networks, Fuzzy Systems and Genetic Algorithms covers the spectrum of applications - comprehensively demonstrating the advantages of fusion techniques in industrial applications.


Advances in Neural Networks - ISNN 2007

Advances in Neural Networks - ISNN 2007
Author: Derong Liu
Publisher: Springer
Total Pages: 1390
Release: 2007-07-14
Genre: Computers
ISBN: 3540723838

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This book is part of a three volume set that constitutes the refereed proceedings of the 4th International Symposium on Neural Networks, ISNN 2007, held in Nanjing, China in June 2007. Coverage includes neural networks for control applications, robotics, data mining and feature extraction, chaos and synchronization, support vector machines, fault diagnosis/detection, image/video processing, and applications of neural networks.


Neuro-Fuzzy Architectures and Hybrid Learning

Neuro-Fuzzy Architectures and Hybrid Learning
Author: Danuta Rutkowska
Publisher: Physica
Total Pages: 292
Release: 2012-11-13
Genre: Computers
ISBN: 379081802X

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The advent of the computer age has set in motion a profound shift in our perception of science -its structure, its aims and its evolution. Traditionally, the principal domains of science were, and are, considered to be mathe matics, physics, chemistry, biology, astronomy and related disciplines. But today, and to an increasing extent, scientific progress is being driven by a quest for machine intelligence - for systems which possess a high MIQ (Machine IQ) and can perform a wide variety of physical and mental tasks with minimal human intervention. The role model for intelligent systems is the human mind. The influ ence of the human mind as a role model is clearly visible in the methodolo gies which have emerged, mainly during the past two decades, for the con ception, design and utilization of intelligent systems. At the center of these methodologies are fuzzy logic (FL); neurocomputing (NC); evolutionary computing (EC); probabilistic computing (PC); chaotic computing (CC); and machine learning (ML). Collectively, these methodologies constitute what is called soft computing (SC). In this perspective, soft computing is basically a coalition of methodologies which collectively provide a body of concepts and techniques for automation of reasoning and decision-making in an environment of imprecision, uncertainty and partial truth.


Type-2 Fuzzy Neural Networks and Their Applications

Type-2 Fuzzy Neural Networks and Their Applications
Author: Rafik Aziz Aliev
Publisher: Springer
Total Pages: 203
Release: 2014-09-08
Genre: Computers
ISBN: 3319090720

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This book deals with the theory, design principles, and application of hybrid intelligent systems using type-2 fuzzy sets in combination with other paradigms of Soft Computing technology such as Neuro-Computing and Evolutionary Computing. It provides a self-contained exposition of the foundation of type-2 fuzzy neural networks and presents a vast compendium of its applications to control, forecasting, decision making, system identification and other real problems. Type-2 Fuzzy Neural Networks and Their Applications is helpful for teachers and students of universities and colleges, for scientists and practitioners from various fields such as control, decision analysis, pattern recognition and similar fields.


Environmental Modeling for Sustainable Regional Development: System Approaches and Advanced Methods

Environmental Modeling for Sustainable Regional Development: System Approaches and Advanced Methods
Author: Olej, Vladim¡r
Publisher: IGI Global
Total Pages: 492
Release: 2010-11-30
Genre: Business & Economics
ISBN: 1609601580

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Understanding the advancement of sustainable development is critical to managing human activities to avoid the overexploitation of resources and pollution of the environment beyond tolerable levels. Sustainable development involves not only preservation and care of the environment, but also recognition of the complex relations between economic, social and living systems. Environmental Modeling for Sustainable Regional Development: System Approaches and Advanced Methods presents processing methods and their applications, which are practical for decision making and task management at the regional level as well as for scientific studies in sustainable development assessment. This book serves as a reference guide for post-graduate students in the field of management as well as a critical guide for managers, government officials, and information professionals.


Computational Web Intelligence: Intelligent Technology For Web Applications

Computational Web Intelligence: Intelligent Technology For Web Applications
Author: Yan-qing Zhang
Publisher: World Scientific
Total Pages: 584
Release: 2004-08-25
Genre: Computers
ISBN: 9814482811

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This review volume introduces the novel intelligent Web theory called computational Web intelligence (CWI) based on computational intelligence (CI) and Web technology (WT). It takes an in-depth look at hybrid Web intelligence (HWI), which is based on artificial biological and computational intelligence with Web technology and is used to build hybrid intelligent Web systems that serve wired and wireless users more efficiently. The basic principles of CWI and various e-applications of CWI and HWI are discussed. For completeness, six major CWI techniques — fuzzy Web intelligence, neural Web intelligence, evolutionary Web intelligence, granular Web intelligence, rough Web Intelligence and probabilistic Web intelligence — are described. With the huge potential for intelligent e-business applications of CWI and HWI, these techniques represent the future of intelligent Web applications.


Neuro-fuzzy Pattern Recognition

Neuro-fuzzy Pattern Recognition
Author: Horst Bunke
Publisher: World Scientific
Total Pages: 276
Release: 2000-12-22
Genre: Computers
ISBN: 9814492396

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Neural networks and fuzzy techniques are among the most promising approaches to pattern recognition. Neuro-fuzzy systems aim at combining the advantages of the two paradigms. This book is a collection of papers describing state-of-the-art work in this emerging field. It covers topics such as feature selection, classification, classifier training, and clustering. Also included are applications of neuro-fuzzy systems in speech recognition, land mine detection, medical image analysis, and autonomous vehicle control. The intended audience includes graduate students in computer science and related fields, as well as researchers at academic institutions and in industry.


Wavelet Theory and Its Application to Pattern Recognition

Wavelet Theory and Its Application to Pattern Recognition
Author: Yuan Yan Tang
Publisher: World Scientific
Total Pages: 360
Release: 2000
Genre: Science
ISBN: 9810238193

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This is not a purely mathematical book. It presents the basic principle of wavelet theory to electrical & electronic engineers, computer scientists, & students, as well as the ideas of how wavelets can be applied to pattern recognition. It also contains many novel research results from the authors' research team. Contents: The Basic Concept of the Wavelet Theory in the View of Engineers; Application of Wavelet Transform to Pattern Recognition Including Document Analysis, Character Recognition, etc; Application of Wavelet Transform to Some Topics of Image Processing Used in Pattern Recognition.