Download or read book Fuzzy Logic Tools Reference manual v1 0 written by Antonio Javier Barragán Piña and published by A. Javier Barragán Piña. This book was released on 2012 with total page 237 pages. Available in PDF, EPUB and Kindle. Book excerpt: This manual documents the use of Fuzzy Logic Tools (FLT), a C++ framework for storage, analysis and design of fully general multiple-input multiple-output (MIMO) Takagi-Sugeno fuzzy control systems, without constraints in the order of either the inputs or the output vectors. This reference manual is intended as a reference work for those developers wishing to use the tools provided by the FLT. Therefore, the text is structured following the typical pattern of reference manuals. Firstly, a general description of the variables, functions, classes, methods and attributes included in the software is presented. Then each of these items is studied in depth. Finally, some examples of using the FLT are included. These functions can be used for the analysis and design of TS-type fuzzy control. With the intention of making our work available to the entire scientific community, FLT is licensed under GPLv3, so you can use it freely if it meets the requirements of such license (see http://www.gnu.org/licenses/gpl.html). With the same intention, this document is licensed under a Creative Commons Attribution-ShareAlike 3.0 License, approved for Free Cultural Works initiative. This work is in continuous evolution and improvement. If you are interested can stay informed of new versions, bugs, and other information about the project at http://uhu.es/antonio.barragan/flt

Download or read book FUZZY LOGIC TOOLS written by BARRAGÁN PIÑA, ANTONIO JAVIER and published by Servicio de Publicaciones de la Universidad de Huelva. This book was released on 2016-05-26 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: FLT is a C framework for storage, analysis and design of fully general Takagi-Sugeno fuzzy control systems. FLT is designed to store general TS fuzzy systems, without restriction on size of input and output vectors. FLT nor limit the type or distribution of the membership functions used, even it allows mixing of different membership functions in the same antecedent. The biggest advantage of FLT are the implemented functions for the analysis and design of TS fuzzy system.

Download or read book Fuzzy Modeling and Control Theory and Applications written by Fernando Matía and published by Springer. This book was released on 2014-08-14 with total page 291 pages. Available in PDF, EPUB and Kindle. Book excerpt: Much work on fuzzy control, covering research, development and applications, has been developed in Europe since the 90's. Nevertheless, the existing books in the field are compilations of articles without interconnection or logical structure or they express the personal point of view of the author. This book compiles the developments of researchers with demonstrated experience in the field of fuzzy control following a logic structure and a unified the style. The first chapters of the book are dedicated to the introduction of the main fuzzy logic techniques, where the following chapters focus on concrete applications. This book is supported by the EUSFLAT and CEA-IFAC societies, which include a large number of researchers in the field of fuzzy logic and control. The central topic of the book, Fuzzy Control, is one of the main research and development lines covered by these associations.

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Download or read book Computational Intelligence written by Nazmul Siddique and published by John Wiley & Sons. This book was released on 2013-05-06 with total page 524 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational Intelligence: Synergies of Fuzzy Logic, Neural Networks and Evolutionary Computing presents an introduction to some of the cutting edge technological paradigms under the umbrella of computational intelligence. Computational intelligence schemes are investigated with the development of a suitable framework for fuzzy logic, neural networks and evolutionary computing, neuro-fuzzy systems, evolutionary-fuzzy systems and evolutionary neural systems. Applications to linear and non-linear systems are discussed with examples. Key features: Covers all the aspects of fuzzy, neural and evolutionary approaches with worked out examples, MATLAB® exercises and applications in each chapter Presents the synergies of technologies of computational intelligence such as evolutionary fuzzy neural fuzzy and evolutionary neural systems Considers real world problems in the domain of systems modelling, control and optimization Contains a foreword written by Lotfi Zadeh Computational Intelligence: Synergies of Fuzzy Logic, Neural Networks and Evolutionary Computing is an ideal text for final year undergraduate, postgraduate and research students in electrical, control, computer, industrial and manufacturing engineering.

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Download or read book Fuzzy Controllers Handbook written by Leon Reznik and published by Newnes. This book was released on 1997 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: Teaches how to design a fuzzy controller, includes theoretical fundamentals of fuzzy logic as well as practical aspects of fuzzy technology.

Download or read book The Data Science Design Manual written by Steven S. Skiena and published by Springer. This book was released on 2017-07-01 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt: This engaging and clearly written textbook/reference provides a must-have introduction to the rapidly emerging interdisciplinary field of data science. It focuses on the principles fundamental to becoming a good data scientist and the key skills needed to build systems for collecting, analyzing, and interpreting data. The Data Science Design Manual is a source of practical insights that highlights what really matters in analyzing data, and provides an intuitive understanding of how these core concepts can be used. The book does not emphasize any particular programming language or suite of data-analysis tools, focusing instead on high-level discussion of important design principles. This easy-to-read text ideally serves the needs of undergraduate and early graduate students embarking on an “Introduction to Data Science” course. It reveals how this discipline sits at the intersection of statistics, computer science, and machine learning, with a distinct heft and character of its own. Practitioners in these and related fields will find this book perfect for self-study as well. Additional learning tools: Contains “War Stories,” offering perspectives on how data science applies in the real world Includes “Homework Problems,” providing a wide range of exercises and projects for self-study Provides a complete set of lecture slides and online video lectures at www.data-manual.com Provides “Take-Home Lessons,” emphasizing the big-picture concepts to learn from each chapter Recommends exciting “Kaggle Challenges” from the online platform Kaggle Highlights “False Starts,” revealing the subtle reasons why certain approaches fail Offers examples taken from the data science television show “The Quant Shop” (www.quant-shop.com)

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