搜索资源列表
fuzzy
- 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
mohu
- 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)
user
- C++ codes for takagi-Sugeno fuzzy controller
Takagi-Sugeno-FuzzyModelingforProcessControl
- 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
Takagi-Sugeno-fuzzymodel
- 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
T_SFuzzyNeuralNetwork
- 一种基于Takagi-siugeno模型的模糊神经网络由前件网络和后件网络两部分组成-Takagi-siugeno model based on fuzzy neural network consists of pieces of network before and after pieces of the network composed of two parts