Fuzzy Matlab

Fuzzy Image Processing and Applications with MATLAB (Repost)

Fuzzy Image Processing and Applications with MATLAB by Tamalika Chaira
English | 2009 | ISBN: 1439807086 | 237 Pages | PDF | 8 MB

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.

Introduction to Fuzzy Logic using MATLAB [Repost]  

Posted by ChrisRedfield at Feb. 26, 2015
Introduction to Fuzzy Logic using MATLAB [Repost]

S. N. Sivanandam, S. Sumathi, S. N. Deepa - Introduction to Fuzzy Logic using MATLAB
Published: 2006-11-16 | ISBN: 3540357807, 3642071449 | PDF | 430 pages | 26 MB

Fuzzy Image Processing and Applications with MATLAB  

Posted by arundhati at Sept. 22, 2014
Fuzzy Image Processing and Applications with MATLAB

Tamalika Chaira, Ajoy Kumar Ray, "Fuzzy Image Processing and Applications with MATLAB"
2009 | ISBN-10: 1439807086 | 237 pages | PDF | 8 MB

Introduction to Fuzzy Logic Using Matlab (repost)  

Posted by Veslefrikk at Aug. 29, 2014
Introduction to Fuzzy Logic Using Matlab (repost)

Introduction to Fuzzy Logic Using Matlab By S.N. Sivanandam, S. Sumathi, S. N. Deepa
Publisher: Springer 2006 | 430 Pages | ISBN: 3540357807 | PDF | 27 MB
Analysis and Synthesis of Fuzzy Control Systems: A Model-Based Approach (repost)

Analysis and Synthesis of Fuzzy Control Systems: A Model-Based Approach (Automation and Control Engineering) by Gang Feng
English | 2010 | ISBN: 1420092642 | 295 pages | PDF | 5,6 MB

This book offers a unique reference devoted to the systematic analysis and synthesis of model-based fuzzy control systems. A reference for scientists and engineers in systems and control, the book also serves the needs of graduate students exploring fuzzy logic control. Many chapters feature application simulation examples and practical numerical examples based on MATLAB.
Computational Intelligence Paradigms: Theory & Applications using MATLAB (repost)

Computational Intelligence Paradigms: Theory & Applications using MATLAB by S. Sumathi and Surekha Paneerselvam
English | 2010 | ISBN: 143980902X | PDF | 851 pages | 8,7 MB

Offering a wide range of programming examples implemented in MATLAB, Computational Intelligence Paradigms: Theory and Applications Using MATLAB presents theoretical concepts and a general framework for computational intelligence (CI) approaches, including artificial neural networks, fuzzy systems, evolutionary computation, genetic algorithms and programming, and swarm intelligence. It covers numerous intelligent computing methodologies and algorithms used in CI research.

Multi-Sensor Data Fusion with MATLAB (repost)  

Posted by interes at Dec. 1, 2013
Multi-Sensor Data Fusion with MATLAB (repost)

Jitendra R. Raol, "Multi-Sensor Data Fusion with MATLAB"
English | 2009 | ISBN: 1439800030 | 568 pages | PDF | 8,6 MB

Using MATLAB® examples wherever possible, Multi-Sensor Data Fusion with MATLAB explores the three levels of multi-sensor data fusion (MSDF): kinematic-level fusion, including the theory of DF; fuzzy logic and decision fusion; and pixel- and feature-level image fusion.

Introduction to Fuzzy Logic using MATLAB (repost)  

Posted by fdts at Oct. 11, 2013
Introduction to Fuzzy Logic using MATLAB (repost)

Introduction to Fuzzy Logic using MATLAB
by S.N. Sivanandam
English | 2006 | ISBN: 3540357807 | 430 pages | PDF | 17.09 MB
Neural Fuzzy Systems: A Neuro-Fuzzy Synergism to Intelligent Systems (Repost)

Chin-Teng Lin, C. S. George Lee, "Neural Fuzzy Systems: A Neuro-Fuzzy Synergism to Intelligent Systems"
English | 1996 | ISBN: 0132351692 | 797 pages | PDF | 45 MB

Neural Fuzzy Systems provides a comprehensive, up-to-date introduction to the basic theories of fuzzy systems and neural networks, as well as an exploration of how these two fields can be integrated to create Neural-Fuzzy Systems. It includes Matlab software, with a Neural Network Toolkit, and a Fuzzy System Toolkit.
Analysis and Synthesis of Fuzzy Control Systems: A Model-Based Approach (Repost)

Gang Feng, "Analysis and Synthesis of Fuzzy Control Systems: A Model-Based Approach"
English | 2010 | ISBN: 1420092642 | 295 pages | PDF | 5 MB

This book offers a unique reference devoted to the systematic analysis and synthesis of model-based fuzzy control systems. A reference for scientists and engineers in systems and control, the book also serves the needs of graduate students exploring fuzzy logic control. Many chapters feature application simulation examples and practical numerical examples based on MATLAB.