Posted by **tanas.olesya** at June 3, 2016

English | Mar. 25, 2005 | ISBN: 0387245154 | 785 Pages | PDF | 55 MB

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.

Posted by **tanas.olesya** at May 1, 2015

English | Dec 1996 | ISBN: 9810226977 | 232 Pages | PDF | 4 MB

This text deals with the subject of fuzzy algorithms and their applications to image processing and pattern recognition. Subjects covered include membership functions; fuzzy clustering; fuzzy rulers and defuzzification; fuzzy classifiers; and combined classifiers.

Posted by **andr1078** at Dec. 26, 2014

Publisher: Springer | English | 2015 | ISBN:3662446898 | 201 pages | PDF | 9.2 MB

This book discusses how to combine type-2 fuzzy sets and graphical models to solve a range of real-world pattern recognition problems such as speech recognition, handwritten Chinese character recognition, topic modeling as well as human action recognition.

Posted by **tanas.olesya** at Oct. 11, 2014

Springer; 1999 edition | August 31, 1999 | English | ISBN: 0792385217 | 785 pages | PDF | 50 MB

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.

Posted by **tanas.olesya** at Oct. 8, 2014

World Scientific Pub Co Inc | December 1999 | English | ISBN: 9810233124 | 344 pages | DJVU | 1 MB

An introduction to pattern recognition, this text is meant for students in computer science and related fields in science and technology. Algorithms and real world applications accompany most of the topics in the text. 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.

Posted by **libr** at Sept. 22, 2013

English | ISBN: 3642241387 | 2011 | PDF | 224 pages | 7,2 MB

This book describes hybrid intelligent systems using type-2 fuzzy logic and modular neural networks for pattern recognition applications. Hybrid intelligent systems combine several intelligent computing paradigms, including fuzzy logic, neural networks, and bio-inspired optimization algorithms, which can be used to produce powerful pattern recognition systems.

Posted by **Direktor69** at Aug. 16, 2013

ISBN: 0387245154 | edition 2005 | PDF | 785 pages | 55 mb

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.

Posted by **denisbul** at Sept. 17, 2010

Publisher: World Scientific Pub Co Inc | 1996 | ISBN: 9810226977 | Pages: 225 | Format: DJVU | Size: 3,6 MB

This text deals with the subject of fuzzy algorithms and their applications to image processing and pattern recognition. Subjects covered include membership functions; fuzzy clustering; fuzzy rulers and defuzzification; fuzzy classifiers; and combined classifiers.

Posted by **Mehdix** at Nov. 26, 2006

World Scientific Publishing Company | ISBN: 9810233124 | 329 pages | 1.9MB | Format:DjVu

This book is on 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 anil pattern recognition via neural networks are also reviewed. Each topic is followed by several examples solved in detail. The only pre- prerequisites tor using this book are a one- semester course in discrete mathematics and a knowledge of the basic preliminaries i)f calculus, linear algebra and probability theory.

Posted by **rotten comics** at Nov. 30, 2016

2004 | ISBN: 0071434801 | English | 370 pages | PDF | 2.2 MB