Data-Driven Fuzzy Modeling Using Restricted Boltzmann Machines and Probability Theory
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DOI: 10.1109/tsmc.2018.2812156
Abstract: Fuzzy modeling has many advantages over nonfuzzy methods, such as robustness with respect to uncertainties and less sensitivity to the varying dynamics of nonlinear systems. Data-driven fuzzy modeling needs to extract fuzzy rules from input… read more here.
Keywords: probability theory; probability; fuzzy modeling; data driven ... See more keywords