Compensatory Genetic Fuzzy Neural Networks And Their Applications

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Compensatory Genetic Fuzzy Neural Networks and Their Applications

Yanqing Zhang,Abraham Kandel

Author : Yanqing Zhang,Abraham Kandel
Publisher : World Scientific
Page : 200 pages
File Size : 53,6 Mb
Release : 1998-08-22
Category : Computers
ISBN : 9789814496575

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Compensatory Genetic Fuzzy Neural Networks and Their Applications by Yanqing Zhang,Abraham Kandel Pdf

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. Contents:Fuzzy Compensation PrinciplesNormal Fuzzy Reasoning MethodologyCompensatory Genetic Fuzzy Neural NetworksFuzzy Knowledge Rediscovery in Fuzzy Rule BasesFuzzy Cart-Pole Balancing Control SystemsFuzzy Knowledge Compression and ExpansionHighly Nonlinear System Modeling and PredictionFuzzy Moves in Fuzzy GamesGenetic Neuro-Fuzzy Pattern RecognitionConstructive Approach to Modeling Fuzzy Systems Readership: Graduate students, researchers and experts in fuzzy logic, neural networks and genetic algorithms, and their applications. Keywords:Neural Networks;Fuzzy Logic;Genetic Algorithms;Evolutionary Computation;Granular Computing;Pattern Recognition;Data Mining;Knowledge Discovery;Nonlinear System Modeling;Game Theory;Control;Uncertainty Management;Decision Making;Compensatory Genetic Fuzzy Neural Networks

NEURAL NETWORKS, FUZZY SYSTEMS AND EVOLUTIONARY ALGORITHMS : SYNTHESIS AND APPLICATIONS

S. RAJASEKARAN,G.A. VIJAYALAKSHMI PAI

Author : S. RAJASEKARAN,G.A. VIJAYALAKSHMI PAI
Publisher : PHI Learning Pvt. Ltd.
Page : 576 pages
File Size : 43,9 Mb
Release : 2017-05-01
Category : Computers
ISBN : 9788120353343

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NEURAL NETWORKS, FUZZY SYSTEMS AND EVOLUTIONARY ALGORITHMS : SYNTHESIS AND APPLICATIONS by S. RAJASEKARAN,G.A. VIJAYALAKSHMI PAI Pdf

The second edition of this book provides a comprehensive introduction to a consortium of technologies underlying soft computing, an evolving branch of computational intelligence, which in recent years, has turned synonymous to it. The constituent technologies discussed comprise neural network (NN), fuzzy system (FS), evolutionary algorithm (EA), and a number of hybrid systems, which include classes such as neuro-fuzzy, evolutionary-fuzzy, and neuro-evolutionary systems. The hybridization of the technologies is demonstrated on architectures such as fuzzy backpropagation network (NN-FS hybrid), genetic algorithm-based backpropagation network (NN-EA hybrid), simplified fuzzy ARTMAP (NN-FS hybrid), fuzzy associative memory (NN-FS hybrid), fuzzy logic controlled genetic algorithm (EA-FS hybrid) and evolutionary extreme learning machine (NN-EA hybrid) Every architecture has been discussed in detail through illustrative examples and applications. The algorithms have been presented in pseudo-code with a step-by-step illustration of the same in problems. The applications, demonstrative of the potential of the architectures, have been chosen from diverse disciplines of science and engineering. This book, with a wealth of information that is clearly presented and illustrated by many examples and applications, is designed for use as a text for the courses in soft computing at both the senior undergraduate and first-year postgraduate levels of computer science and engineering. It should also be of interest to researchers and technologists desirous of applying soft computing technologies to their respective fields of work.

Advances in Neural Networks - ISNN 2007

Derong Liu,Shumin Fei,Zeng-Guang Hou,Huaguang Zhang,Changyin Sun

Author : Derong Liu,Shumin Fei,Zeng-Guang Hou,Huaguang Zhang,Changyin Sun
Publisher : Springer
Page : 1359 pages
File Size : 43,7 Mb
Release : 2007-07-14
Category : Computers
ISBN : 9783540723837

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Advances in Neural Networks - ISNN 2007 by Derong Liu,Shumin Fei,Zeng-Guang Hou,Huaguang Zhang,Changyin Sun Pdf

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

Danuta Rutkowska

Author : Danuta Rutkowska
Publisher : Physica
Page : 292 pages
File Size : 54,9 Mb
Release : 2012-11-13
Category : Computers
ISBN : 9783790818024

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Neuro-Fuzzy Architectures and Hybrid Learning by Danuta Rutkowska Pdf

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.

Advances in Evolutionary Computing for System Design

Vasile Palade,Dipti Srinivasan

Author : Vasile Palade,Dipti Srinivasan
Publisher : Springer
Page : 326 pages
File Size : 49,8 Mb
Release : 2007-07-07
Category : Computers
ISBN : 9783540723776

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Advances in Evolutionary Computing for System Design by Vasile Palade,Dipti Srinivasan Pdf

Evolutionary computing paradigms offer robust and powerful adaptive search mechanisms for system design. This book’s thirteen chapters cover a wide area of topics in evolutionary computing and applications, including an introduction to evolutionary computing in system design; evolutionary neuro-fuzzy systems; and evolution of fuzzy controllers. The book will be useful to researchers in intelligent systems with interest in evolutionary computing, as well as application engineers and system designers.

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

Olej, Vladim¡r,Obr? lov , Ilona,Krupka, Jir¡

Author : Olej, Vladim¡r,Obr? lov , Ilona,Krupka, Jir¡
Publisher : IGI Global
Page : 492 pages
File Size : 48,7 Mb
Release : 2010-11-30
Category : Business & Economics
ISBN : 9781609601584

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Environmental Modeling for Sustainable Regional Development: System Approaches and Advanced Methods by Olej, Vladim¡r,Obr? lov , Ilona,Krupka, Jir¡ Pdf

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

Y-Q Zhang,A Kandel,T Y Lin,Y Y Yao

Author : Y-Q Zhang,A Kandel,T Y Lin,Y Y Yao
Publisher : World Scientific
Page : 584 pages
File Size : 51,8 Mb
Release : 2004-08-25
Category : Computers
ISBN : 9789814482813

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Computational Web Intelligence by Y-Q Zhang,A Kandel,T Y Lin,Y Y Yao Pdf

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. Contents:Fuzzy Web Intelligence, Rough Web Intelligence and Probabilistic Web IntelligenceNeural Web Intelligence, Evolutionary Web Intelligence and Granular Web IntelligenceHybrid Web Intelligence and E-Applications Readership: Graduate students, researchers and professionals in artificial intelligence and fuzzy logic. Keywords:Computational Web Intelligence;Web Intelligence;Computational Intelligence;Soft Computing;Granular Computing;Fuzzy Logic;Neural Networks;Evolutionary Computation;Rough Sets;E-BusinessKey Features:Completely introduces the intelligent Web techniques based on soft computing, granular computing, computational intelligence, and Web technology for different intelligent Web applicationsFirst to introduce the novel intelligent Web theory (computational Web intelligence) with many potential intelligent Web applicationsIntroduces CWI techniques for currently hot and important applications such as Web security, Internet security, bioinformatics, Web search engines, Web mining, e-commerce, intelligent Web agents, etc.

Neuro-Fuzzy Pattern Recognition

H Bunke,A Kandel

Author : H Bunke,A Kandel
Publisher : World Scientific
Page : 276 pages
File Size : 49,6 Mb
Release : 2000-12-22
Category : Computers
ISBN : 9789814492393

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Neuro-Fuzzy Pattern Recognition by H Bunke,A Kandel Pdf

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. Contents: Methodology:Simultaneous Feature Analysis and System Identification in a Neuro-Fuzzy Framework (N R Pal & D Chakraborty)Neuro-Fuzzy Model for Unsupervised Feature Extraction with Real Life Applications (R K De et al.)A Computational-Intelligence-Based Approach to Decision Support (M B Gorzalczany)Clustering Problem Using Fuzzy C-Means Algorithms and Unsupervised Neural Networks (J-S Lin)Automatic Training of Min-Max Classifiers (A Rizzi)Granular Computing in Pattern Recognition (W Pedrycz & G Vukovich)ART-Based Model Set for Pattern Recognition: FasArt Family (G I Sainz Palmero et al.)Applications:A Methodology and a System for Adaptive Speech Recognition in a Noisy Environment Based on Adaptive Noise Cancellation and Evolving Fuzzy Neural Networks (N Kasabov & G Iliev)Neural Versus Heuristic Development of Choquet Fuzzy Integral Fusion Algorithms for Land Mine Detection (P D Gader et al.)Automatic Segmentation of Multi-Spectral MR Brain Images Using a Neuro-Fuzzy Algorithm (S Y Lee et al.)Vision-Based Neuro-Fuzzy Control of Autonomous Lane Following Vehicle (Y-J Ryoo) Readership: Graduate students, lecturers and researchers in computer science and computer engineering. Keywords:Neuro-Fuzzy;Fuzzy Logic;Neural Networks;Pattern Recognition;Classification;Clustering;Decision Making;Uncertainty Management

Wavelet Theory and Its Application to Pattern Recognition

Yuan Yan Tang

Author : Yuan Yan Tang
Publisher : World Scientific
Page : 360 pages
File Size : 44,9 Mb
Release : 2000
Category : Science
ISBN : 9789810238193

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Wavelet Theory and Its Application to Pattern Recognition by Yuan Yan Tang Pdf

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.

Introduction to Pattern Recognition

Menahem Friedman,Abraham Kandel

Author : Menahem Friedman,Abraham Kandel
Publisher : World Scientific Publishing Company
Page : 344 pages
File Size : 51,8 Mb
Release : 1999-03-01
Category : Computers
ISBN : 9789813105188

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Introduction to Pattern Recognition by Menahem Friedman,Abraham Kandel Pdf

This book is an introduction to pattern recognition, meant for undergraduate and graduate students in computer science and related fields in science and technology. Most of the topics are accompanied by detailed algorithms and real world applications. In addition to statistical and structural approaches, novel topics such as fuzzy pattern recognition and pattern recognition via neural networks are also reviewed. Each topic is followed by several examples solved in detail. The only prerequisites for using this book are a one-semester course in discrete mathematics and a knowledge of the basic preliminaries of calculus, linear algebra and probability theory.

Fusion of Neural Networks, Fuzzy Systems and Genetic Algorithms

Lakhmi C. Jain,N.M. Martin

Author : Lakhmi C. Jain,N.M. Martin
Publisher : CRC Press
Page : 366 pages
File Size : 51,9 Mb
Release : 2020-01-29
Category : Computers
ISBN : 9781000722949

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Fusion of Neural Networks, Fuzzy Systems and Genetic Algorithms by Lakhmi C. Jain,N.M. Martin Pdf

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.

New Approaches to Fuzzy Modeling and Control

Michael Margaliot,Gideon Langholz

Author : Michael Margaliot,Gideon Langholz
Publisher : World Scientific
Page : 204 pages
File Size : 48,8 Mb
Release : 2000
Category : Technology & Engineering
ISBN : 9810243340

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New Approaches to Fuzzy Modeling and Control by Michael Margaliot,Gideon Langholz Pdf

Fuzzy logic has found applications in an incredibly wide range of areas in the relatively wide range of areas in the relatively short time since its conception. It was invented by Lotfi Zadeh, a leading systems expert, so it is perhaps not surprising that system theory is one of the areas in which fuzzy logic has made a profound impact. Fuzzy logic combined with the paradigm of computing with words allows the use and manipulation of human knowledge and reasoning in the modeling and control of dynamical systems. This monograph presents new approaches to the construction of fuzzy models and to the design of fuzzy controllers. The emphasis is on developing methods that allow systematic design on the one hand and mathematical analysis of the resulting system on the other. In particular, the methods described allow rigorous analysis of the stability and robustness of the systems, which are crucial issues in control theory. The first theme of the book is a new approach to the system design and analysis of fuzzy controllers, given linguistic information concerning the plant and the control objective. The new approach, fuzzy Lyapunov synthesis, is a computing-with-words version of the well-known (classical) Lyapunov synthesis method. The second theme of the book is to show that fuzzy controllers are in fact solutions to a nonlinear optimal control problem. The authors formulate a novel nonlinear optimal control problem, consisting of a new state-space model -- referred to as the hyperbolic state-space model -- and a new cost functional and show that its solution is a fuzzy controller. This leads to a new framework for fuzzy modeling and control that combines the advantages of the fuzzyworld, such as linguistic interpretability, and of classical optimal control theory, such as guaranteed stability and robustness.

Granular, Fuzzy, and Soft Computing

Tsau-Young Lin,Churn-Jung Liau,Janusz Kacprzyk

Author : Tsau-Young Lin,Churn-Jung Liau,Janusz Kacprzyk
Publisher : Springer Nature
Page : 936 pages
File Size : 40,6 Mb
Release : 2023-03-29
Category : Mathematics
ISBN : 9781071626283

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Granular, Fuzzy, and Soft Computing by Tsau-Young Lin,Churn-Jung Liau,Janusz Kacprzyk Pdf

The first edition of the Encyclopedia of Complexity and Systems Science (ECSS, 2009) presented a comprehensive overview of granular computing (GrC) broadly divided into several categories: Granular computing from rough set theory, Granular Computing in Database Theory, Granular Computing in Social Networks, Granular Computing and Fuzzy Set Theory, Grid/Cloud Computing, as well as general issues in granular computing. In 2011, the formal theory of GrC was established, providing an adequate infrastructure to support revolutionary new approaches to computer/data science, including the challenges presented by so-called big data. For this volume of ECSS, Second Edition, many entries have been updated to capture these new developments, together with new chapters on such topics as data clustering, outliers in data mining, qualitative fuzzy sets, and information flow analysis for security applications. Granulations can be seen as a natural and ancient methodology deeply rooted in the human mind. Many daily "things" are routinely granulated into sub "things": The topography of earth is granulated into hills, plateaus, etc., space and time are granulated into infinitesimal granules, and a circle is granulated into polygons of infinitesimal sides. Such granules led to the invention of calculus, topology and non-standard analysis. Formalization of general granulation was difficult but, as shown in this volume, great progress has been made in combing discrete and continuous mathematics under one roof for a broad range of applications in data science.

Vision Interface

M Cheriet,Y H Yang

Author : M Cheriet,Y H Yang
Publisher : World Scientific
Page : 288 pages
File Size : 48,8 Mb
Release : 1999-12-13
Category : Computers
ISBN : 9789814494106

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Vision Interface by M Cheriet,Y H Yang Pdf

This book contains selected papers presented at Vision Interface '98, held in Vancouver, Canada, in June 1998. It spans a wide spectrum of topics in computer vision and image processing. During the last three decades, the field of computer vision and image processing has grown at a phenomenal rate due to the development of innovative techniques coupled with the advance in hardware that have been made available at lower cost. Numerous practical applications are now being realized to justify the theme of Vision Interface '98 — “Real World Applications of Computer Vision”. Contents: Preface (M Cheriet & Y-H Yang)Adaptive Gabor Filters for Phase-Based Disparity Estimation (B Crespi & G Tecchiolli)A Fast Rule-Based Parameter Free Discrete Hough Transform (B M A Genswein & Y-H Yang)Unsupervised Segmentation of 3D and 2D Seismic Reflection Data (K Köster & M Spann)Extraction of Handwritten Data from Noisy Gray-Level Images Using a Multiscale Approach (M Cheriet)Robust Mosaicing Using Zernike Moments (F Badra et al.)3D Image Understanding and Recognition in Virtual Environment (P S P Wang)An Integrated Linear Technique for Pose Estimation from Different Geometric Features (Q Ji et al.)On the Recovery of Motion and Structure When Cameras are not Calibrated (B S Boufama)Towards the Self-Calibration of a Multiview Radiographic Imaging System for the 3D Reconstruction of the Human Spine and Rib Cage (F Cheriet et al.)Image Flow Estimation Using Facet Model and Covariance Propagation (M Ye & R M Haralick)Robust Motion Trajectory Estimation for Long Image Sequences with Applications to Motion Compensated Prediction (D Gibson & M Spann)Image Processing for Internet Applications (P W Wong) Readership: Researchers in computer vision and practitioners of image processing. Keywords:

Image Processing for the Food Industry

E R Davies

Author : E R Davies
Publisher : World Scientific
Page : 312 pages
File Size : 46,9 Mb
Release : 2000-05-11
Category : Computers
ISBN : 9789814494410

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Image Processing for the Food Industry by E R Davies Pdf

This monograph provides detailed background on the image processing problems encountered in the food industry when automatic control and inspection systems are being designed and installed. It starts with a careful study of image processing and machine vision methodology, and then goes on to analyse how this can be applied in the main areas of food processing and production. A case study approach is used to give relevance to the work, making the book user-friendly. This book will help the food industry to observe 'due diligence', and researchers to be more aware of the problems of analysing images of food products. Contents:Image Processing Methodology:Images and Image ProcessingShape AnalysisFeature Detection and Object LocationTextureThree-Dimensional ProcessingPattern RecognitionApplication to Food Production:Inspection and Inspection ProceduresInspection of Baked ProductsCereal Grain InspectionX-Ray InspectionImage Processing in AgricultureVision for Fish and Meat ProcessingSystem Design ConsiderationsFood Processing for the Millennium Readership: Researchers and practitioners in image processing and computer vision. Keywords:Machine Vision;Image Processing;Food and Cereals Inspection;Image Acquisition and Illumination;X-Ray Inspection;Insect Detection;Baked Products;Agriculture;Due Diligence

Compensatory Genetic Fuzzy Neural Networks And Their Applications

Compensatory Genetic Fuzzy Neural Networks and Their Applications by Yanqing Zhang,Abraham Kandel Pdf

NEURAL NETWORKS, FUZZY SYSTEMS AND EVOLUTIONARY ALGORITHMS : SYNTHESIS AND APPLICATIONS by S. RAJASEKARAN,G.A. VIJAYALAKSHMI PAI Pdf

Advances in Neural Networks - ISNN 2007 by Derong Liu,Shumin Fei,Zeng-Guang Hou,Huaguang Zhang,Changyin Sun Pdf

Neuro-Fuzzy Architectures and Hybrid Learning by Danuta Rutkowska Pdf

Advances in Evolutionary Computing for System Design by Vasile Palade,Dipti Srinivasan Pdf

Environmental Modeling for Sustainable Regional Development: System Approaches and Advanced Methods by Olej, Vladim¡r,Obr? lov , Ilona,Krupka, Jir¡ Pdf

Computational Web Intelligence by Y-Q Zhang,A Kandel,T Y Lin,Y Y Yao Pdf

Neuro-Fuzzy Pattern Recognition by H Bunke,A Kandel Pdf

Wavelet Theory and Its Application to Pattern Recognition by Yuan Yan Tang Pdf

Introduction to Pattern Recognition by Menahem Friedman,Abraham Kandel Pdf

Fusion of Neural Networks, Fuzzy Systems and Genetic Algorithms by Lakhmi C. Jain,N.M. Martin Pdf

New Approaches to Fuzzy Modeling and Control by Michael Margaliot,Gideon Langholz Pdf

Granular, Fuzzy, and Soft Computing by Tsau-Young Lin,Churn-Jung Liau,Janusz Kacprzyk Pdf

Vision Interface by M Cheriet,Y H Yang Pdf

Image Processing for the Food Industry by E R Davies Pdf

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