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fuzzy neural network ANFIS
Update : 2024-05-05 Size : 3072 Publisher : hadi

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C codes and simulation examples for the ANFIS by Jang (Absolutely original version )-This attached file contains C code and simulation examples for the ANFIS (Adaptive-Network-based Fuzzy Inference System) architecture proposed in [1,2]. Related papers [1] "ANFIS: Adaptive-Network-based Fuzzy Inference Systems", IEEE Trans. on Systems, Man and Cybernetics, May 1993. [2] "Fuzzy Modeling Using Generalized Neural Networks and Kalman Filter Algorithms", Proc. of the Ninth National Conference on Artificial Intelligence (AAAI-91), pp 762-767, 1991.
Update : 2024-05-05 Size : 45056 Publisher : malpig

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基于自适应控制的模糊神经网络的仿真及其动态学习-Modeling and Simulation of an Adaptive Neuro-Fuzzy Inference System (ANFIS) for Mobile Learning
Update : 2024-05-05 Size : 1174528 Publisher : zhangzhenlin

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anfis examples ABOUT CLUSTERING
Update : 2024-05-05 Size : 417792 Publisher : mohammad

Design of ANFIS based Estimation and Control for MIMO Systems
Update : 2024-05-05 Size : 362496 Publisher : Thai

ANFIS for 2 dof robot
Update : 2024-05-05 Size : 4096 Publisher : Shahin

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Function Approximation with ANFIS
Update : 2024-05-05 Size : 1024 Publisher : mor

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neuro anfis with Matlab
Update : 2024-05-05 Size : 28672 Publisher : vaparaiso

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自适应网络模糊推论系统(ANFIS),产生输入输出变量的初始归属含数集合-Adaptive network fuzzy inference system (ANFIS), generating an initial ownership of the number of input and output variables containing the set
Update : 2024-05-05 Size : 1024 Publisher : 佐佐

OtherANFIS
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对于造型复杂工业过程控制,提出了控制ANFIS建模和应用程序的方法-For modeling complex industrial process control, a method to control ANFIS modeling and applications
Update : 2024-05-05 Size : 216064 Publisher : xfp

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anfis的python源码,模拟了anfis的功能-encode anfis by python,cumulate the function of anfis
Update : 2024-05-05 Size : 8192 Publisher : CQ

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function [t_fismat, t_error, stepsize, c_fismat, c_error] ... = anfis(trn_data, in_fismat, t_opt, d_opt, chk_data, method) ANFIS Training routine for Sugeno-type FIS (MEX only). if nargin > 6 & nargin < 1, error( Too many or too few input arguments! ) end Change the following to set default train options. default_t_opt = [10 training epoch number 0 training error goal 0.01 initial step size 0.9 step size decrease rate 1.1] step size increase rate Change the following to set default display options. default_d_opt = [1 display ANFIS information 1 display error measure 1 display step size 1] display final result-function [t_fismat, t_error, stepsize, c_fismat, c_error] ... = anfis(trn_data, in_fismat, t_opt, d_opt, chk_data, method) ANFIS Training routine for Sugeno-type FIS (MEX only). if nargin > 6 & nargin < 1, error( Too many or too few input arguments! ) end Change the following to set default train options. default_t_opt = [10 training epoch number 0 training error goal 0.01 initial step size 0.9 step size decrease rate 1.1] step size increase rate Change the following to set default display options. default_d_opt = [1 display ANFIS information 1 display error measure 1 display step size 1] display final result
Update : 2024-05-05 Size : 1024 Publisher : hassan

neural network - fuzzy- anfis - neuro fuzzy
Update : 2024-05-05 Size : 412672 Publisher : Nitromira

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This file is useful for introduction od anfis. In this file a sine wave in simulated with anfis system.
Update : 2024-05-05 Size : 141312 Publisher : Arash

Nonlinear Regression using ANFIS
Update : 2024-05-05 Size : 19456 Publisher : Hossein

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neurodifusas networks , application examples with ANFIS tool in predicting mathematical models
Update : 2024-05-05 Size : 13312 Publisher : Cbasmaximo

neuro fuzzy networks , application examples with ANFIS tool in predicting the amount of energy that can generate a power plant
Update : 2024-05-05 Size : 5120 Publisher : Cbasmaximo

用MATLAB实现自适应神经模糊推理系统(ANFIS)结构训练。代码中,首先创建一个初始原ANFIS结构,然后采用遗传算法(GA)、粒子群优化(PSO)来训练ANFIS。此进化训练算法可用于解决非线性回归函数逼近问题。-Implementation of adaptive neural fuzzy inference system (ANFIS) based on MATLAB. Code, the first to create an initial original ANFIS structure, and then using the genetic algorithm (GA), particle swarm optimization (PSO) to train ANFIS. This evolutionary training algorithm can be used to solve the nonlinear regression function approximation problem.
Update : 2024-05-05 Size : 21504 Publisher : 张贝

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THE PROGRAM MATLAB ANFIS IS A DATAMAINING-THE PROGRAM MATLAB ANFIS IS A DATAMAINING
Update : 2024-05-05 Size : 2048 Publisher : nasir

Design of Hybrid Genetic- SVD ANFIS Networks for Fatigue Life Modelling of GRP Composites
Update : 2024-05-05 Size : 521216 Publisher : kaveh
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