Fuzzy Logic With Matlab
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Introduction To Fuzzy Logic Using Matlab
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Author : S.N. Sivanandam
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-10-28
Introduction To Fuzzy Logic Using Matlab written by S.N. Sivanandam and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-10-28 with Technology & Engineering categories.
This book provides a broad-ranging, but detailed overview of the basics of Fuzzy Logic. The fundamentals of Fuzzy Logic are discussed in detail, and illustrated with various solved examples. The book also deals with applications of Fuzzy Logic, to help readers more fully understand the concepts involved. Solutions to the problems are programmed using MATLAB 6.0, with simulated results. The MATLAB Fuzzy Logic toolbox is provided for easy reference.
Fuzzy Logic With Matlab
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Author : Godfrey H.
language : en
Publisher: Createspace Independent Publishing Platform
Release Date : 2016-11-12
Fuzzy Logic With Matlab written by Godfrey H. and has been published by Createspace Independent Publishing Platform this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-11-12 with categories.
Fuzzy Logic Toolbox provides MATLAB functions, graphical tools, and a SimulinkR block for analyzing, designing, and simulating systems based on fuzzy logic. The product guides you through the steps of designing fuzzy inference systems. Functions are provided for many common methods, including fuzzy clustering and adaptive neurofuzzy learning. The toolbox lets you model complex system behaviors using simple logic rules, and then implement these rules in a fuzzy inference system. You can use it as a stand-alone fuzzy inference engine. Alternatively, you can use fuzzy inference blocks in Simulink and simulate the fuzzy systems within a comprehensive model of the entire dynamic system. The more important features are the next:* Specialized GUIs for building fuzzy inference systems and viewing and analyzing results* Membership functions for creating fuzzy inference systems * Support for AND, OR, and NOT logic in user-defined rules* Standard Mamdani and Sugeno-type fuzzy inference systems* Automated membership function shaping through neuroadaptive and fuzzy clustering learning techniques* Ability to embed a fuzzy inference system in a Simulink model * Ability to generate embeddable C code or stand-alone executable fuzzy inference engines
Fuzzy Logic With Matlab
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Author : A. Taylor
language : en
Publisher: Createspace Independent Publishing Platform
Release Date : 2017-11-15
Fuzzy Logic With Matlab written by A. Taylor and has been published by Createspace Independent Publishing Platform this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-11-15 with categories.
Fuzzy Logic Toolbox provides MATLAB functions, apps, and a Simulink block for analyzing, designing, and simulating systems based on fuzzy logic. The book guides you through the steps of designing fuzzy inference systems. Functions are provided formany common methods, including fuzzy clustering and adaptive neuro fuzzy learning.The toolbox lets you model complex system behaviors using simple logic rules, and then implement these rules in a fuzzy inference system. You can use it as a stand-alone fuzzy inference engine. Alternatively, you can use fuzzy inference blocks in Simulink and simulate the fuzzy systems within a comprehensive model of the entire dynamic system. The most important features that this Toolbox provides are the following: - Fuzzy Logic Design app for building fuzzy inference systems and viewing andanalyzing results - Membership functions for creating fuzzy inference systems - Support for AND, OR, and NOT logic in user-defined rules - Standard Mamdani and Sugeno-type fuzzy inference systems - Automated membership function shaping through neuroadaptive and fuzzy clusteringlearning techniques - Ability to embed a fuzzy inference system in a Simulink model - Ability to generate embeddable C code or stand-alone executable fuzzy inferenceengines
Fuzzy Logic Toolbox
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Author : Ned Gulley
language : en
Publisher:
Release Date : 1995
Fuzzy Logic Toolbox written by Ned Gulley and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Expert systems (Computer science) categories.
Matlab Fuzzy Logic Toolbox
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Author : J. S. Roger Jang
language : en
Publisher:
Release Date : 1997
Matlab Fuzzy Logic Toolbox written by J. S. Roger Jang and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997 with Expert systems (Computer science) categories.
Fuzzy Logic Toolbox
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Author :
language : en
Publisher:
Release Date : 2001
Fuzzy Logic Toolbox written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with Expert systems (Computer science) categories.
Introduction To Genetic Algorithms
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Author : S.N. Sivanandam
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-10-24
Introduction To Genetic Algorithms written by S.N. Sivanandam and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-10-24 with Technology & Engineering categories.
This book offers a basic introduction to genetic algorithms. It provides a detailed explanation of genetic algorithm concepts and examines numerous genetic algorithm optimization problems. In addition, the book presents implementation of optimization problems using C and C++ as well as simulated solutions for genetic algorithm problems using MATLAB 7.0. It also includes application case studies on genetic algorithms in emerging fields.
Fuzzy Image Processing And Applications With Matlab
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Author : Tamalika Chaira
language : en
Publisher: CRC Press
Release Date : 2017-12-19
Fuzzy Image Processing And Applications With Matlab written by Tamalika Chaira and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-12-19 with Technology & Engineering categories.
In contrast to classical image analysis methods that employ "crisp" mathematics, fuzzy set techniques provide an elegant foundation and a set of rich methodologies for diverse image-processing tasks. However, a solid understanding of fuzzy processing requires a firm grasp of essential principles and background knowledge. Fuzzy Image Processing and Applications with MATLAB® presents the integral science and essential mathematics behind this exciting and dynamic branch of image processing, which is becoming increasingly important to applications in areas such as remote sensing, medical imaging, and video surveillance, to name a few. Many texts cover the use of crisp sets, but this book stands apart by exploring the explosion of interest and significant growth in fuzzy set image processing. The distinguished authors clearly lay out theoretical concepts and applications of fuzzy set theory and their impact on areas such as enhancement, segmentation, filtering, edge detection, content-based image retrieval, pattern recognition, and clustering. They describe all components of fuzzy, detailing preprocessing, threshold detection, and match-based segmentation. Minimize Processing Errors Using Dynamic Fuzzy Set Theory This book serves as a primer on MATLAB and demonstrates how to implement it in fuzzy image processing methods. It illustrates how the code can be used to improve calculations that help prevent or deal with imprecision—whether it is in the grey level of the image, geometry of an object, definition of an object’s edges or boundaries, or in knowledge representation, object recognition, or image interpretation. The text addresses these considerations by applying fuzzy set theory to image thresholding, segmentation, edge detection, enhancement, clustering, color retrieval, clustering in pattern recognition, and other image processing operations. Highlighting key ideas, the authors present the experimental results of their own new fuzzy approaches and those suggested by different authors, offering data and insights that will be useful to teachers, scientists, and engineers, among others.
Fuzzy Logic Toolbox For Use With Matlab User S Guide
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Author :
language : en
Publisher:
Release Date : 1998
Fuzzy Logic Toolbox For Use With Matlab User S Guide written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with Fuzzy logic categories.
Fuzzy Logic Control In Energy Systems
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Author : İsmail Hakkı Altaş
language : en
Publisher: Institution of Engineering and Technology
Release Date : 2024-07-12
Fuzzy Logic Control In Energy Systems written by İsmail Hakkı Altaş and has been published by Institution of Engineering and Technology this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-12 with Technology & Engineering categories.
Fuzzy models have the capability of recognising, representing, and working with data that is vague or lacks certainty, making them suitable for managing electrical energy systems involving intermittent distributed generation and varying distributed loads.
