Code covered by the BSD License
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anfisim_art(t,Xt,u,flag,Ita,a...
This program is an implementation of the on line ANFIS (MISO) system.
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anfisim_grid(t,Xt,u,flag,Ita,...
This program is an implementation of the on line ANFIS (MISO) system.
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anfisim_scatter(t,Xt,u,flag,I...
This program is an implementation of the on line ANFIS (MISO) system.
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canfisim_art(t,Xt,u,flag,Ita,...
This program is an implementation of the on-line CANFIS (MIMO) system.
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canfisim_grid(t,Xt,u,flag,Ita...
This program is an implementation of the on line CANFIS (MIMO) system.
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canfisim_scatter(t,Xt,u,flag,...
This program is an implementation of the on line CANFIS (MIMO) system.
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g(s,gamma);
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g(s,gamma);
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GenLorenzDat4Sim.m
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SimDataGenAnfis1.m
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SimDataGenAnfis2.m
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ANFIS_ART_MG
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ANFIS_Grid_MG
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ANFIS_Scatter_MG
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Adapt_Equalizer
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CANFIS_ART_Lorenz
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CANFIS_Grid_Lorenz
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CANFIS_Scatter_Lorenz
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NFA_matlab
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anfis_art_narmax
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bb_anfis_grid
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bb_anfis_scatter
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slcp_anfis
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View all files
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| SimDataGenAnfis2.m |
% Mackey-Glass chaotic time series I/O data setup.
% This script prepares the input - output training (LE=1) data pairs
% and checking (LE=0) data pairs.
% Four past time-series values are used as inputs to ANFIS in order to
% predict the next value of the series.
load MG_Train_2000.dat
load MG_Check_2000.dat
NumOfSamples = 1000;
NumOfInputVars = 4;
Train_Time = [1:NumOfSamples]';
Train_Time_End = max(Train_Time);
Check_Time = [1:NumOfSamples]' + Train_Time_End;
% Training mode I/O data pairs.
MG_Train4Sim = [Train_Time MG_Train_2000(1:NumOfSamples,1:NumOfInputVars)];
MG_Train_Target = [Train_Time MG_Train_2000(1:NumOfSamples,7)];
% Checking mode I/O data pairs.
MG_Check4Sim = [ MG_Train4Sim;
Check_Time MG_Check_2000(1:NumOfSamples,1:NumOfInputVars);];
MG_Check_Target = [MG_Train_Target;
Check_Time MG_Check_2000(1:NumOfSamples,7)];
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