Hybrid Algorithms, Techniques and Implementations of Fuzzy LogicКНИГИ » ПРОГРАММИНГ
Название: Hybrid Algorithms, Techniques and Implementations of Fuzzy Logic Автор: Ivan Stanimirovic Издательство: Arcler Press Год: 2019 Страниц: 268 Язык: английский Формат: pdf (true) Размер: 16.3 MB
Hybrid Algorithms, Techniques and Implementations of Fuzzy Logic studies various aspects of Fuzzy logic including an extensive overview of hybrid algorithms, techniques and implementations. It includes definitions of evolutionary computation and fuzzy systems, ideologies and strategies. Provides the reader with insights into the development of its knowledge, so as to understand the applications and implementations of fuzzy logic using hybrid algorithms.
Software MATLAB is a high-level technical language with an interactive environment for algorithm development, data visualization, data analysis, and numeric computation. Using MATLAB, we can solve technical computing problems faster than with traditional languages such as C, C ++, and FORTRAN. MATLAB can be used in a wide range of uses, including signal processing and image communications, control design, modeling, financial analysis and computational biology.
For the development of this practice they were performed graphs of some of the most representative fuzzy sets. MATLAB software was used to develop programs so that they could enter different values for the parameters each time a program is run. An example of an application that can be represented with a graph of fuzzy sets also included.
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Hybrid Algorithms, Techniques and Implementations of Fuzzy Logic 
Название: Hybrid Algorithms, Techniques and Implementations of Fuzzy Logic 
