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The neuro-fuzzy software for identification and data analysis has been implemented in the MATLAB language ver. 4.2.
The software trains a fuzzy architecture, inspired to Takagi-Sugeno approach, on the basis of a training set of N (single) outpu
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高木关野模糊系统（将高木关野模糊系统应用到BP神经网络中）-Takagi Sugeno fuzzy system (to Takagi Sugeno fuzzy system applied to the BP neural network)
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C++ codes for takagi-Sugeno fuzzy controller
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2:Takagi-Sugeno fuzzy modeling
2.1 Construction of Fuzzy Models
2.1.1 Sector Nonlinearity
2.2 Basic Fuzzy Mathematics for Modeling
2.2.1 Local Approximation in Fuzzy
Partition Spaces-2:Takagi-Sugeno fuzzy modeling
2.1 Construction
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The fuzzy inference process discussed so far is Mamdani s fuzzy inference method, the most common methodology. This section discusses the so-called Sugeno, or Takagi-Sugeno-Kang, method of fuzzy inference. Introduced in 1985, it is similar to the Mam
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