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Evolutionary-ANFIS-Training

于 2021-03-22 发布 文件大小:21KB
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代码说明:

  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.)

文件列表:

Evolutionary ANFIS Training
...........................\Evolutionary ANFIS Training
...........................\...........................\CreateInitialFIS.m,587,2016-07-29
...........................\...........................\engine_data.mat,12763,2015-09-10
...........................\...........................\GetFISParams.m,624,2016-07-29
...........................\...........................\license.txt,1332,2016-07-29
...........................\...........................\LoadData.m,912,2016-07-29
...........................\...........................\main.m,1053,2016-07-29
...........................\...........................\PlotResults.m,882,2016-07-29
...........................\...........................\RouletteWheelSelection.m,328,2016-07-29
...........................\...........................\SetFISParams.m,760,2016-07-29
...........................\...........................\TrainAnfisUsingGA.m,4813,2016-07-29
...........................\...........................\TrainAnfisUsingPSO.m,4675,2016-07-29
...........................\...........................\TrainFISCost.m,721,2016-07-29
...........................\license.txt,1332,2016-07-29

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