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
FHSVD
- HankelToeplitz and Takagi Factorization Package
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)
lm_ts
- For training Takagi-Sugeno fuzzy systems using the Levenberg-Marquardt method
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
takag_sugeno
- Takagi sugeno fuzzy modelling conroller with predefined sinusoidal function
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
kbcs
- it is a matlab code for takagi-sugeno modeling
rls_lip_ts
- Takagi-Sugeno Fuzzy System by Recursive Least Square online method-Takagi-Sugeno Fuzzy System by Recursive Least Square online method
bls_lip_ts
- training Takagi-Sugeno fuzzy systems using batch least squares
lm_ts
- training Takagi-Sugeno fuzzy systems using the Levenberg-Marquardt method
SENT
- this package contain: five matlab function and one scr ipt. XOX_OLS: is Common ols regression function that print out results just like Eviews Program. XOX_PanelFix: is Common fix effect panel data regression function that print out results just
fuzzy-controller
- The Sugeno-Takagi-like fuzzy controller: This controller is a two input one output fuzzy controller The first input is the error=x The second input is the error_dot=y(time derivative of the error) The output of the fuzzy controller is the CHA
5-Fuzzy-TSK-Matlab
- Takagi-Sugeno fuzzy models are based on the concept of fuzzy coding of information and operating with fuzzy sets instead of numbers
TREENL
- takagi sugeno model for inverted pendulum
bls_lip_ts
- • Batch least squares for training a Takagi-Sugeno fuzzy system
boilier identification using Takagi Sugeno
- This paper describes the application of an identification algorithm clustering type Gustafson-Kessel nonlinear dynamical system. From input-output data the algorithm generates fuzzy models of Takagi-Sugeno. This type of modeling is applied to a non