Pattern Recognition With Fuzzy Objective Function Algorithms

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Pattern Recognition with Fuzzy Objective Function Algorithms

James C. Bezdek
Pattern Recognition with Fuzzy Objective Function Algorithms Book PDF

Author : James C. Bezdek
Publisher : Springer Science & Business Media
Page : 267 pages
File Size : 49,5 Mb
Release : 2013-03-13
Category : Mathematics
ISBN : 9781475704501

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Pattern Recognition with Fuzzy Objective Function Algorithms by James C. Bezdek Pdf

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 Algorithms

Zheru Chi,Hong Yan,Tuan Pham
Fuzzy Algorithms Book PDF

Author : Zheru Chi,Hong Yan,Tuan Pham
Publisher : World Scientific
Page : 242 pages
File Size : 48,6 Mb
Release : 1996
Category : Computers
ISBN : 9810226977

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Fuzzy Algorithms by Zheru Chi,Hong Yan,Tuan Pham Pdf

http://www.worldscientific.com/worldscibooks/10.1142/3132

Fuzzy Models and Algorithms for Pattern Recognition and Image Processing

James C. Bezdek,James Keller,Raghu Krisnapuram,Nikhil Pal
Fuzzy Models and Algorithms for Pattern Recognition and Image Processing Book PDF

Author : James C. Bezdek,James Keller,Raghu Krisnapuram,Nikhil Pal
Publisher : Springer Science & Business Media
Page : 786 pages
File Size : 55,9 Mb
Release : 2006-09-28
Category : Computers
ISBN : 9780387245799

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Fuzzy Models and Algorithms for Pattern Recognition and Image Processing by James C. Bezdek,James Keller,Raghu Krisnapuram,Nikhil Pal Pdf

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.

Knowledge-Based Clustering

Witold Pedrycz
Knowledge Based Clustering Book PDF

Author : Witold Pedrycz
Publisher : John Wiley & Sons
Page : 336 pages
File Size : 47,5 Mb
Release : 2005-05-13
Category : Technology & Engineering
ISBN : 9780471708599

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Knowledge-Based Clustering by Witold Pedrycz Pdf

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

Evangelia Miche Tzanakou
Supervised and Unsupervised Pattern Recognition Book PDF

Author : Evangelia Miche Tzanakou
Publisher : CRC Press
Page : 396 pages
File Size : 52,5 Mb
Release : 2017-12-19
Category : Technology & Engineering
ISBN : 1420049771

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Supervised and Unsupervised Pattern Recognition by Evangelia Miche Tzanakou Pdf

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

Vilém Novák
Fuzzy Approach to Reasoning and Decision Making Book PDF

Author : Vilém Novák
Publisher : Springer Science & Business Media
Page : 250 pages
File Size : 53,8 Mb
Release : 1992
Category : Business & Economics
ISBN : 0792313585

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Fuzzy Approach to Reasoning and Decision-Making by Vilém Novák Pdf

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

Xiaohui Liu,Michael R. Berthold
Advances in Intelligent Data Analysis Reasoning about Data Book PDF

Author : Xiaohui Liu,Michael R. Berthold
Publisher : Springer Science & Business Media
Page : 644 pages
File Size : 51,8 Mb
Release : 1997-07-23
Category : Business & Economics
ISBN : 3540633464

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Advances in Intelligent Data Analysis. Reasoning about Data by Xiaohui Liu,Michael R. Berthold Pdf

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

Sankar K. Pal,Paul P. Wang
Genetic Algorithms for Pattern Recognition Book PDF

Author : Sankar K. Pal,Paul P. Wang
Publisher : CRC Press
Page : 368 pages
File Size : 42,6 Mb
Release : 2017-11-22
Category : Computers
ISBN : 9781351364485

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Genetic Algorithms for Pattern Recognition by Sankar K. Pal,Paul P. Wang Pdf

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

Beatrice Lazzerini,Lakhmi C. Jain,D. Dumitrescu
Fuzzy Sets their Application to Clustering Training Book PDF

Author : Beatrice Lazzerini,Lakhmi C. Jain,D. Dumitrescu
Publisher : CRC Press
Page : 672 pages
File Size : 42,7 Mb
Release : 2000-03-24
Category : Computers
ISBN : 0849305896

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Fuzzy Sets & their Application to Clustering & Training by Beatrice Lazzerini,Lakhmi C. Jain,D. Dumitrescu Pdf

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

Pradipta Maji,Sushmita Paul
Scalable Pattern Recognition Algorithms Book PDF

Author : Pradipta Maji,Sushmita Paul
Publisher : Springer Science & Business Media
Page : 304 pages
File Size : 51,9 Mb
Release : 2014-03-19
Category : Computers
ISBN : 9783319056302

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Scalable Pattern Recognition Algorithms by Pradipta Maji,Sushmita Paul Pdf

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.

Pattern Recognition

Sergios Theodoridis,Konstantinos Koutroumbas
Pattern Recognition Book PDF

Author : Sergios Theodoridis,Konstantinos Koutroumbas
Publisher : Elsevier
Page : 689 pages
File Size : 45,5 Mb
Release : 2003-05-15
Category : Technology & Engineering
ISBN : 008051362X

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Pattern Recognition by Sergios Theodoridis,Konstantinos Koutroumbas Pdf

Pattern recognition is a scientific discipline that is becoming increasingly important in the age of automation and information handling and retrieval. Patter Recognition, 2e covers the entire spectrum of pattern recognition applications, from image analysis to speech recognition and communications. This book presents cutting-edge material on neural networks, - a set of linked microprocessors that can form associations and uses pattern recognition to "learn" -and enhances student motivation by approaching pattern recognition from the designer's point of view. A direct result of more than 10 years of teaching experience, the text was developed by the authors through use in their own classrooms. *Approaches pattern recognition from the designer's point of view *New edition highlights latest developments in this growing field, including independent components and support vector machines, not available elsewhere *Supplemented by computer examples selected from applications of interest

Advances In Pattern Recognition And Applications

Francisco Casacuberta,Alberto Sanfeliu
Advances In Pattern Recognition And Applications Book PDF

Author : Francisco Casacuberta,Alberto Sanfeliu
Publisher : World Scientific
Page : 278 pages
File Size : 52,6 Mb
Release : 1994-10-17
Category : Electronic
ISBN : 9789814550482

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Advances In Pattern Recognition And Applications by Francisco Casacuberta,Alberto Sanfeliu Pdf

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

Srikanta Patnaik,Baojiang Zhong
Soft Computing Techniques in Engineering Applications Book PDF

Author : Srikanta Patnaik,Baojiang Zhong
Publisher : Springer
Page : 206 pages
File Size : 42,8 Mb
Release : 2014-02-22
Category : Technology & Engineering
ISBN : 9783319046938

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Soft Computing Techniques in Engineering Applications by Srikanta Patnaik,Baojiang Zhong Pdf

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

Dominik Slezak,Marcin Szczuka,Ivo Duentsch,Yiyu Yao
Rough Sets Fuzzy Sets Data Mining and Granular Computing Book PDF

Author : Dominik Slezak,Marcin Szczuka,Ivo Duentsch,Yiyu Yao
Publisher : Springer
Page : 748 pages
File Size : 41,5 Mb
Release : 2005-09-19
Category : Computers
ISBN : 9783540318255

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Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing by Dominik Slezak,Marcin Szczuka,Ivo Duentsch,Yiyu Yao Pdf

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

Alexander Gelbukh,Àngel Fernando Kuri Morales
MICAI 2007 Advances in Artificial Intelligence Book PDF

Author : Alexander Gelbukh,Àngel Fernando Kuri Morales
Publisher : Springer
Page : 1236 pages
File Size : 41,8 Mb
Release : 2007-10-24
Category : Computers
ISBN : 9783540766315

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MICAI 2007: Advances in Artificial Intelligence by Alexander Gelbukh,Àngel Fernando Kuri Morales Pdf

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.