Pattern Recognition With Fuzzy Objective Function Algorithms

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Pattern Recognition with Fuzzy Objective Function Algorithms

Author : James C. Bezdek
Publisher : Springer Science & Business Media
ISBN 13 : 147570450X
Total Pages : 267 pages
Book Rating : 4.4/5 (757 download)

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Book Synopsis Pattern Recognition with Fuzzy Objective Function Algorithms by : James C. Bezdek

Download or read book Pattern Recognition with Fuzzy Objective Function Algorithms written by James C. Bezdek and published by Springer Science & Business Media. This book was released on 2013-03-13 with total page 267 pages. Available in PDF, EPUB and Kindle. Book excerpt: The fuzzy set was conceived as a result of an attempt to come to grips with the problem of pattern recognition in the context of imprecisely defined categories. In such cases, the belonging of an object to a class is a matter of degree, as is the question of whether or not a group of objects form a cluster. A pioneering application of the theory of fuzzy sets to cluster analysis was made in 1969 by Ruspini. It was not until 1973, however, when the appearance of the work by Dunn and Bezdek on the Fuzzy ISODATA (or fuzzy c-means) algorithms became a landmark in the theory of cluster analysis, that the relevance of the theory of fuzzy sets to cluster analysis and pattern recognition became clearly established. Since then, the theory of fuzzy clustering has developed rapidly and fruitfully, with the author of the present monograph contributing a major share of what we know today. In their seminal work, Bezdek and Dunn have introduced the basic idea of determining the fuzzy clusters by minimizing an appropriately defined functional, and have derived iterative algorithms for computing the membership functions for the clusters in question. The important issue of convergence of such algorithms has become much better understood as a result of recent work which is described in the monograph.

Fuzzy Models and Algorithms for Pattern Recognition and Image Processing

Author : James C. Bezdek
Publisher : Springer Science & Business Media
ISBN 13 : 0387245790
Total Pages : 786 pages
Book Rating : 4.3/5 (872 download)

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Book Synopsis Fuzzy Models and Algorithms for Pattern Recognition and Image Processing by : James C. Bezdek

Download or read book Fuzzy Models and Algorithms for Pattern Recognition and Image Processing written by James C. Bezdek and published by Springer Science & Business Media. This book was released on 2006-09-28 with total page 786 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fuzzy Models and Algorithms for Pattern Recognition and Image Processing presents a comprehensive introduction of the use of fuzzy models in pattern recognition and selected topics in image processing and computer vision. Unique to this volume in the Kluwer Handbooks of Fuzzy Sets Series is the fact that this book was written in its entirety by its four authors. A single notation, presentation style, and purpose are used throughout. The result is an extensive unified treatment of many fuzzy models for pattern recognition. The main topics are clustering and classifier design, with extensive material on feature analysis relational clustering, image processing and computer vision. Also included are numerous figures, images and numerical examples that illustrate the use of various models involving applications in medicine, character and word recognition, remote sensing, military image analysis, and industrial engineering.

Fuzzy Algorithms: With Applications To Image Processing And Pattern Recognition

Author : Zheru Chi
Publisher : World Scientific
ISBN 13 : 9814498858
Total Pages : 239 pages
Book Rating : 4.8/5 (144 download)

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Book Synopsis Fuzzy Algorithms: With Applications To Image Processing And Pattern Recognition by : Zheru Chi

Download or read book Fuzzy Algorithms: With Applications To Image Processing And Pattern Recognition written by Zheru Chi and published by World Scientific. This book was released on 1996-10-04 with total page 239 pages. Available in PDF, EPUB and Kindle. Book excerpt: Contents:Introduction:Basic Concepts of Fuzzy SetsFuzzy RelationsFuzzy Models for Image Processing and Pattern RecognitionMembership Functions:IntroductionHeuristic SelectionsClustering ApproachesTuning of Membership FunctionsConcluding RemarksOptimal Image Thresholding:IntroductionThreshold Selection Based on Statistical Decision TheoryNon-fuzzy Thresholding AlgorithmsFuzzy Thresholding AlgorithmUnified Formulation of Three Thresholding AlgorithmsMultilevel ThresholdingApplicationsConcluding RemarksFuzzy Clustering:IntroductionC-Means AlgorithmFuzzy C-Means AlgorithmComparison between Hard and Fuzzy Clustering AlgorithmsCluster ValidityApplicationsConcluding RemarksLine Pattern Matching:IntroductionSimilarity Measures between Line SegmentsBasic Matching AlgorithmDealing with Noisy PatternsDealing with Rotated PatternsApplicationsConcluding RemarksFuzzy Rule-based Systems:IntroductionLearning from ExamplesDecision Tree ApproachFuzzy Aggregation Network ApproachMinimization of Fuzzy RulesDefuzzification and OptimizationApplicationsConcluding RemarksCombined Classifiers:IntroductionVoting SchemesMaximum Posteriori ProbabilityMultilayer Perceptron ApproachFuzzy Measures and Fuzzy IntegralsApplicationsConcluding Remarks Readership: Engineers and computer scientists. keywords:

Knowledge-Based Clustering

Author : Witold Pedrycz
Publisher : John Wiley & Sons
ISBN 13 : 0471708593
Total Pages : 336 pages
Book Rating : 4.4/5 (717 download)

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Book Synopsis Knowledge-Based Clustering by : Witold Pedrycz

Download or read book Knowledge-Based Clustering written by Witold Pedrycz and published by John Wiley & Sons. This book was released on 2005-05-13 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive coverage of emerging and current technology dealing with heterogeneous sources of information, including data, design hints, reinforcement signals from external datasets, and related topics Covers all necessary prerequisites, and if necessary,additional explanations of more advanced topics, to make abstract concepts more tangible Includes illustrative material andwell-known experimentsto offer hands-on experience

Supervised and Unsupervised Pattern Recognition

Author : Evangelia Miche Tzanakou
Publisher : CRC Press
ISBN 13 : 9781420049770
Total Pages : 396 pages
Book Rating : 4.0/5 (497 download)

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Book Synopsis Supervised and Unsupervised Pattern Recognition by : Evangelia Miche Tzanakou

Download or read book Supervised and Unsupervised Pattern Recognition written by Evangelia Miche Tzanakou and published by CRC Press. This book was released on 2017-12-19 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt: There are many books on neural networks, some of which cover computational intelligence, but none that incorporate both feature extraction and computational intelligence, as Supervised and Unsupervised Pattern Recognition does. This volume describes the application of a novel, unsupervised pattern recognition scheme to the classification of various types of waveforms and images. This substantial collection of recent research begins with an introduction to Neural Networks, classifiers, and feature extraction methods. It then addresses unsupervised and fuzzy neural networks and their applications to handwritten character recognition and recognition of normal and abnormal visual evoked potentials. The third section deals with advanced neural network architectures-including modular design-and their applications to medicine and three-dimensional NN architecture simulating brain functions. The final section discusses general applications and simulations, such as the establishment of a brain-computer link, speaker identification, and face recognition. In the quickly changing field of computational intelligence, every discovery is significant. Supervised and Unsupervised Pattern Recognition gives you access to many notable findings in one convenient volume.

Fuzzy Approach to Reasoning and Decision-Making

Author : Vilém Novák
Publisher : Springer Science & Business Media
ISBN 13 : 9780792313588
Total Pages : 250 pages
Book Rating : 4.3/5 (135 download)

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Book Synopsis Fuzzy Approach to Reasoning and Decision-Making by : Vilém Novák

Download or read book Fuzzy Approach to Reasoning and Decision-Making written by Vilém Novák and published by Springer Science & Business Media. This book was released on 1992 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: The papers presented at the Symposium focused mainly on two fields of interest. First, there were papers dealing with the theoretical background of fuzzy logic and with applications of fuzzy reasoning to the problems of artificial intelligence, robotics and expert systems. Second, quite a large number of papers were devoted to fuzzy approaches to modelling of decision-making situations under uncertainty and vagueness and their applications to the evaluation of alternatives, system control and optimization. Apart from that, there were also some interesting contributions from other areas, like fuzzy classifications and the use of fuzzy approaches in quantum physics. This volume contains the most valuable and interesting papers presented at the Symposium and will be of use to all those researchers interested in fuzzy set theory and its applications.

Advances in Intelligent Data Analysis. Reasoning about Data

Author : Xiaohui Liu
Publisher : Springer Science & Business Media
ISBN 13 : 9783540633464
Total Pages : 644 pages
Book Rating : 4.6/5 (334 download)

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Book Synopsis Advances in Intelligent Data Analysis. Reasoning about Data by : Xiaohui Liu

Download or read book Advances in Intelligent Data Analysis. Reasoning about Data written by Xiaohui Liu and published by Springer Science & Business Media. This book was released on 1997-07-23 with total page 644 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Second International Symposium on Intelligent Data Analysis, IDA-97, held in London, UK, in August 1997. The volume presents 50 revised full papers selected from a total of 107 submissions. Also included is a keynote, Intelligent Data Analysis: Issues and Opportunities, by David J. Hand. The papers are organized in sections on exploratory data analysis, preprocessing and tools; classification and feature selection; medical applications; soft computing; knowledge discovery and data mining; estimation and clustering; data quality; qualitative models.

Genetic Algorithms for Pattern Recognition

Author : Sankar K. Pal
Publisher : CRC Press
ISBN 13 : 1351364480
Total Pages : 368 pages
Book Rating : 4.3/5 (513 download)

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Book Synopsis Genetic Algorithms for Pattern Recognition by : Sankar K. Pal

Download or read book Genetic Algorithms for Pattern Recognition written by Sankar K. Pal and published by CRC Press. This book was released on 2017-11-22 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: Solving pattern recognition problems involves an enormous amount of computational effort. By applying genetic algorithms - a computational method based on the way chromosomes in DNA recombine - these problems are more efficiently and more accurately solved. Genetic Algorithms for Pattern Recognition covers a broad range of applications in science and technology, describing the integration of genetic algorithms in pattern recognition and machine learning problems to build intelligent recognition systems. The articles, written by leading experts from around the world, accomplish several objectives: they provide insight into the theory of genetic algorithms; they develop pattern recognition theory in light of genetic algorithms; and they illustrate applications in artificial neural networks and fuzzy logic. The cross-sectional view of current research presented in Genetic Algorithms for Pattern Recognition makes it a unique text, ideal for graduate students and researchers.

Fuzzy Sets & their Application to Clustering & Training

Author : Beatrice Lazzerini
Publisher : CRC Press
ISBN 13 : 9780849305894
Total Pages : 672 pages
Book Rating : 4.3/5 (58 download)

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Book Synopsis Fuzzy Sets & their Application to Clustering & Training by : Beatrice Lazzerini

Download or read book Fuzzy Sets & their Application to Clustering & Training written by Beatrice Lazzerini and published by CRC Press. This book was released on 2000-03-24 with total page 672 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fuzzy set theory - and its underlying fuzzy logic - represents one of the most significant scientific and cultural paradigms to emerge in the last half-century. Its theoretical and technological promise is vast, and we are only beginning to experience its potential. Clustering is the first and most basic application of fuzzy set theory, but forms the basis of many, more sophisticated, intelligent computational models, particularly in pattern recognition, data mining, adaptive and hierarchical clustering, and classifier design. Fuzzy Sets and their Application to Clustering and Training offers a comprehensive introduction to fuzzy set theory, focusing on the concepts and results needed for training and clustering applications. It provides a unified mathematical framework for fuzzy classification and clustering, a methodology for developing training and classification methods, and a general method for obtaining a variety of fuzzy clustering algorithms. The authors - top experts from around the world - combine their talents to lay a solid foundation for applications of this powerful tool, from the basic concepts and mathematics through the study of various algorithms, to validity functionals and hierarchical clustering. The result is Fuzzy Sets and their Application to Clustering and Training - an outstanding initiation into the world of fuzzy learning classifiers and fuzzy clustering.

Scalable Pattern Recognition Algorithms

Author : Pradipta Maji
Publisher : Springer Science & Business Media
ISBN 13 : 3319056301
Total Pages : 304 pages
Book Rating : 4.3/5 (19 download)

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Book Synopsis Scalable Pattern Recognition Algorithms by : Pradipta Maji

Download or read book Scalable Pattern Recognition Algorithms written by Pradipta Maji and published by Springer Science & Business Media. This book was released on 2014-03-19 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses the need for a unified framework describing how soft computing and machine learning techniques can be judiciously formulated and used in building efficient pattern recognition models. The text reviews both established and cutting-edge research, providing a careful balance of theory, algorithms, and applications, with a particular emphasis given to applications in computational biology and bioinformatics. Features: integrates different soft computing and machine learning methodologies with pattern recognition tasks; discusses in detail the integration of different techniques for handling uncertainties in decision-making and efficiently mining large biological datasets; presents a particular emphasis on real-life applications, such as microarray expression datasets and magnetic resonance images; includes numerous examples and experimental results to support the theoretical concepts described; concludes each chapter with directions for future research and a comprehensive bibliography.

Advances In Pattern Recognition And Applications

Author : Francisco Casacuberta
Publisher : World Scientific
ISBN 13 : 9814550485
Total Pages : 278 pages
Book Rating : 4.8/5 (145 download)

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Book Synopsis Advances In Pattern Recognition And Applications by : Francisco Casacuberta

Download or read book Advances In Pattern Recognition And Applications written by Francisco Casacuberta and published by World Scientific. This book was released on 1994-10-17 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: These proceedings present the state of the art in Spanish research on pattern recognition, image processing, speech recognition, and artificial neural networks and applications to medicine, geology, control etc.

Soft Computing Techniques in Engineering Applications

Author : Srikanta Patnaik
Publisher : Springer
ISBN 13 : 3319046934
Total Pages : 206 pages
Book Rating : 4.3/5 (19 download)

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Book Synopsis Soft Computing Techniques in Engineering Applications by : Srikanta Patnaik

Download or read book Soft Computing Techniques in Engineering Applications written by Srikanta Patnaik and published by Springer. This book was released on 2014-02-22 with total page 206 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Soft Computing techniques, which are based on the information processing of biological systems are now massively used in the area of pattern recognition, making prediction & planning, as well as acting on the environment. Ideally speaking, soft computing is not a subject of homogeneous concepts and techniques; rather, it is an amalgamation of distinct methods that confirms to its guiding principle. At present, the main aim of soft computing is to exploit the tolerance for imprecision and uncertainty to achieve tractability, robustness and low solutions cost. The principal constituents of soft computing techniques are probabilistic reasoning, fuzzy logic, neuro-computing, genetic algorithms, belief networks, chaotic systems, as well as learning theory. This book covers contributions from various authors to demonstrate the use of soft computing techniques in various applications of engineering.

Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing

Author : Dominik Slezak
Publisher : Springer
ISBN 13 : 3540318259
Total Pages : 748 pages
Book Rating : 4.5/5 (43 download)

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Book Synopsis Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing by : Dominik Slezak

Download or read book Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing written by Dominik Slezak and published by Springer. This book was released on 2005-09-19 with total page 748 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains the papers selected for presentation at the 10th Int- national Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, RSFDGrC 2005, organized at the University of Regina, August 31st–September 3rd, 2005. This conference followed in the footsteps of inter- tional events devoted to the subject of rough sets, held so far in Canada, China, Japan,Poland,Sweden, and the USA. RSFDGrC achievedthe status of biennial international conference, starting from 2003 in Chongqing, China. The theory of rough sets, proposed by Zdzis law Pawlak in 1982, is a model of approximate reasoning. The main idea is based on indiscernibility relations that describe indistinguishability of objects. Concepts are represented by - proximations. In applications, rough set methodology focuses on approximate representation of knowledge derivable from data. It leads to signi?cant results in many areas such as ?nance, industry, multimedia, and medicine. The RSFDGrC conferences put an emphasis on connections between rough sets and fuzzy sets, granularcomputing, and knowledge discoveryand data m- ing, both at the level of theoretical foundations and real-life applications. In the case of this event, additional e?ort was made to establish a linkage towards a broader range of applications. We achieved it by including in the conference program the workshops on bioinformatics, security engineering, and embedded systems, as well as tutorials and sessions related to other application areas.

MICAI 2007: Advances in Artificial Intelligence

Author : Alexander Gelbukh
Publisher : Springer
ISBN 13 : 3540766316
Total Pages : 1236 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis MICAI 2007: Advances in Artificial Intelligence by : Alexander Gelbukh

Download or read book MICAI 2007: Advances in Artificial Intelligence written by Alexander Gelbukh and published by Springer. This book was released on 2007-10-24 with total page 1236 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 6th Mexican International Conference on Artificial Intelligence, MICAI 2007, held in Aguascalientes, Mexico, in November 2007. The 116 revised full papers presented were carefully reviewed and selected from numerous submissions for inclusion in the book. The papers are organized in sections on topics that include computational intelligence, neural networks, knowledge representation and reasoning, agents and multiagent systems.

Theory and Applications of Models of Computation

Author : Jianer Chen
Publisher : Springer Nature
ISBN 13 : 3030592677
Total Pages : 464 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis Theory and Applications of Models of Computation by : Jianer Chen

Download or read book Theory and Applications of Models of Computation written by Jianer Chen and published by Springer Nature. This book was released on 2020-10-11 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 16th Annual Conference on Theory and Applications of Models of Computation, TAMC 2020, held in Changsha, China, in October 2020. The 37 full papers were carefully reviewed and selected from 83 submissions. The main themes of the selected papers are computability, complexity, algorithms, information theory and their extensions to machine learning theory and foundations of artificial intelligence.

Dynamic Fuzzy Pattern Recognition with Applications to Finance and Engineering

Author : Larisa Angstenberger
Publisher : Springer Science & Business Media
ISBN 13 : 940171312X
Total Pages : 303 pages
Book Rating : 4.4/5 (17 download)

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Book Synopsis Dynamic Fuzzy Pattern Recognition with Applications to Finance and Engineering by : Larisa Angstenberger

Download or read book Dynamic Fuzzy Pattern Recognition with Applications to Finance and Engineering written by Larisa Angstenberger and published by Springer Science & Business Media. This book was released on 2013-03-14 with total page 303 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dynamic Fuzzy Pattern Recognition with Applications to Finance and Engineering focuses on fuzzy clustering methods which have proven to be very powerful in pattern recognition and considers the entire process of dynamic pattern recognition. This book sets a general framework for Dynamic Pattern Recognition, describing in detail the monitoring process using fuzzy tools and the adaptation process in which the classifiers have to be adapted, using the observations of the dynamic process. It then focuses on the problem of a changing cluster structure (new clusters, merging of clusters, splitting of clusters and the detection of gradual changes in the cluster structure). Finally, the book integrates these parts into a complete algorithm for dynamic fuzzy classifier design and classification.

Intelligent Systems

Author : Cornelius T. Leondes
Publisher : CRC Press
ISBN 13 : 1420040812
Total Pages : 2400 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Intelligent Systems by : Cornelius T. Leondes

Download or read book Intelligent Systems written by Cornelius T. Leondes and published by CRC Press. This book was released on 2018-10-08 with total page 2400 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligent systems, or artificial intelligence technologies, are playing an increasing role in areas ranging from medicine to the major manufacturing industries to financial markets. The consequences of flawed artificial intelligence systems are equally wide ranging and can be seen, for example, in the programmed trading-driven stock market crash of October 19, 1987. Intelligent Systems: Technology and Applications, Six Volume Set connects theory with proven practical applications to provide broad, multidisciplinary coverage in a single resource. In these volumes, international experts present case-study examples of successful practical techniques and solutions for diverse applications ranging from robotic systems to speech and signal processing, database management, and manufacturing.