Wavelets In Soft Computing (Second Edition)
Wavelets In Soft Computing (Second Edition)

Author: Marc Thuillard

Publisher: World Scientific

Published: 2022-09-09

Total Pages: 320

ISBN-13: 9811264031

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The comprehensive compendium furnishes a quick and efficient entry point to many multiresolution techniques and facilitates the transition from an idea into a real project. It focuses on methods combining several soft computing techniques (fuzzy logic, neural networks, genetic algorithms) in a multiresolution framework.Illustrated with numerous vivid examples, this useful volume gives the reader the necessary theoretical background to decide which methods suit his/her needs.New materials and applications for multiresolution analysis are added, including notable research topics such as deep learning, graphs, and network analysis.

Wavelets in Soft Computing
Wavelets in Soft Computing

Author: Marc Thuillard

Publisher: World Scientific

Published: 2001

Total Pages: 256

ISBN-13: 9789812811332

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This book presents the state of integration of wavelet theory and multiresolution analysis into soft computing. It is the first book on hybrid methods combining wavelet analysis with fuzzy logic, neural networks or genetic algorithms. Much attention is given to new approaches (fuzzy-wavelet) that permit one to develop, using wavelet techniques, linguistically interpretable fuzzy systems from data. The book also introduces the reader to wavelet-based genetic algorithms and multiresolution search. A special place is given to methods that have been implemented in real world applications, particularly the different techniques combining fuzzy logic or neural networks with wavelet theory. Contents: Introduction to Wavelet Theory; Pre-Processing: The Multiresolution Approach; Spline-Based Wavelets Approximation and Compression Algorithms; Automatic Generation of a Fuzzy System with Wavelet Based Methods; On-Line Learning; Nonparametric Wavelet-Based Estimation and Regression Techniques; Developing Intelligent Products; Genetic Algorithms and Multiresolution. Readership: Graduate students, researchers, academics/lecturers and industrialists in fuzzy logic.

Wavelets In Soft Computing
Wavelets In Soft Computing

Author: Marc Thuillard

Publisher: World Scientific

Published: 2001-06-15

Total Pages: 246

ISBN-13: 9814491128

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This book presents the state of integration of wavelet theory and multiresolution analysis into soft computing. It is the first book on hybrid methods combining wavelet analysis with fuzzy logic, neural networks or genetic algorithms. Much attention is given to new approaches (fuzzy-wavelet) that permit one to develop, using wavelet techniques, linguistically interpretable fuzzy systems from data. The book also introduces the reader to wavelet-based genetic algorithms and multiresolution search. A special place is given to methods that have been implemented in real world applications, particularly the different techniques combining fuzzy logic or neural networks with wavelet theory.

Fundamentals of Wavelets
Fundamentals of Wavelets

Author: Jaideva C. Goswami

Publisher: John Wiley & Sons

Published: 2011-03-08

Total Pages: 310

ISBN-13: 0470934646

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Most existing books on wavelets are either too mathematical or they focus on too narrow a specialty. This book provides a thorough treatment of the subject from an engineering point of view. It is a one-stop source of theory, algorithms, applications, and computer codes related to wavelets. This second edition has been updated by the addition of: a section on "Other Wavelets" that describes curvelets, ridgelets, lifting wavelets, etc a section on lifting algorithms Sections on Edge Detection and Geophysical Applications Section on Multiresolution Time Domain Method (MRTD) and on Inverse problems

Artificial Intelligence and Soft Computing
Artificial Intelligence and Soft Computing

Author: Leszek Rutkowski

Publisher: Springer

Published: 2012-04-23

Total Pages: 720

ISBN-13: 3642293476

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The two-volume set LNAI 7267 and LNCS 7268 (together with LNCS 7269) constitutes the refereed proceedings of the 11th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2012, held in Zakopane, Poland in April/May 2012. The 212 revised full papers presented were carefully reviewed and selected from 483 submissions. The papers are organized in topical sections on neural networks and their applications, computer vision, image and speech analysis, data mining, hardware implementation, bioinformatics, biometrics and medical applications, concurrent parallel processing, agent systems, robotics and control, artificial intelligence in modeling and simulation, various problems od artificial intelligence.

Soft Computing for Security Applications
Soft Computing for Security Applications

Author: G. Ranganathan

Publisher: Springer Nature

Published: 2022-09-29

Total Pages: 754

ISBN-13: 9811935904

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This book features selected papers from the International Conference on Soft Computing for Security Applications (ICSCS 2022), held at Dhirajlal Gandhi College of Technology, Tamil Nadu, India, during April 21–22, 2022. It covers recent advances in the field of soft computing techniques such as fuzzy logic, neural network, support vector machines, evolutionary computation, machine learning and probabilistic reasoning to solve various real-time challenges. This book presents innovative work by leading academics, researchers, and experts from industry.

Ten Lectures on Wavelets
Ten Lectures on Wavelets

Author: Ingrid Daubechies

Publisher: SIAM

Published: 1992-01-01

Total Pages: 357

ISBN-13: 9781611970104

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Wavelets are a mathematical development that may revolutionize the world of information storage and retrieval according to many experts. They are a fairly simple mathematical tool now being applied to the compression of data--such as fingerprints, weather satellite photographs, and medical x-rays--that were previously thought to be impossible to condense without losing crucial details. This monograph contains 10 lectures presented by Dr. Daubechies as the principal speaker at the 1990 CBMS-NSF Conference on Wavelets and Applications. The author has worked on several aspects of the wavelet transform and has developed a collection of wavelets that are remarkably efficient.

Wavelets, Approximation, and Statistical Applications
Wavelets, Approximation, and Statistical Applications

Author: Wolfgang Härdle

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 276

ISBN-13: 1461222222

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The mathematical theory of ondelettes (wavelets) was developed by Yves Meyer and many collaborators about 10 years ago. It was designed for ap proximation of possibly irregular functions and surfaces and was successfully applied in data compression, turbulence analysis, image and signal process ing. Five years ago wavelet theory progressively appeared to be a power ful framework for nonparametric statistical problems. Efficient computa tional implementations are beginning to surface in this second lustrum of the nineties. This book brings together these three main streams of wavelet theory. It presents the theory, discusses approximations and gives a variety of statistical applications. It is the aim of this text to introduce the novice in this field into the various aspects of wavelets. Wavelets require a highly interactive computing interface. We present therefore all applications with software code from an interactive statistical computing environment. Readers interested in theory and construction of wavelets will find here in a condensed form results that are somewhat scattered around in the research literature. A practioner will be able to use wavelets via the available software code. We hope therefore to address both theory and practice with this book and thus help to construct bridges between the different groups of scientists. This te. xt grew out of a French-German cooperation (Seminaire Paris Berlin, Seminar Berlin-Paris). This seminar brings together theoretical and applied statisticians from Berlin and Paris. This work originates in the first of these seminars organized in Garchy, Burgundy in 1994.

Cognitive Informatics and Soft Computing
Cognitive Informatics and Soft Computing

Author: Pradeep Kumar Mallick

Publisher: Springer Nature

Published: 2020-01-14

Total Pages: 685

ISBN-13: 9811514518

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The book presents new approaches and methods for solving real-world problems. It highlights, in particular, innovative research in the fields of Cognitive Informatics, Cognitive Computing, Computational Intelligence, Advanced Computing, and Hybrid Intelligent Models and Applications. New algorithms and methods in a variety of fields are presented, together with solution-based approaches. The topics addressed include various theoretical aspects and applications of Computer Science, Artificial Intelligence, Cybernetics, Automation Control Theory, and Software Engineering.

Soft Computing Approach to Pattern Recognition and Image Processing
Soft Computing Approach to Pattern Recognition and Image Processing

Author: Ashish Ghosh

Publisher: World Scientific

Published: 2002

Total Pages: 371

ISBN-13: 9812382518

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This volume provides a collection of sixteen articles containing review and new material. In a unified way, they describe the recent development of theories and methodologies in pattern recognition, image processing and vision using fuzzy logic, artificial neural networks, genetic algorithms, rough sets and wavelets with significant real life applications.The book details the theory of granular computing and the role of a rough-neuro approach as a way of computing with words and designing intelligent recognition systems. It also demonstrates applications of the soft computing paradigm to case based reasoning, data mining and bio-informatics with a scope for future research.The contributors from around the world present a balanced mixture of current theory, algorithms and applications, making the book an extremely useful resource for students and researchers alike.