Hi all!
I can't write the tree of trained fuzzy inference systems to disk. At the bottom of the program are the options that I used. But they don't work...
Granulator = mamfis('Name','Granulator','NumInputs',2,'NumOutputs',1);
Granulator.Inputs(1).Name = "G_inp1";
Granulator.Inputs(2).Name = "G_inp2";
Granulator.Outputs(1).Name = "G_out";
CTMCM = mamfis('Name','CTMCM','NumInputs',2,'NumOutputs',1);
CTMCM.Inputs(1).Name = "CTMCM_inp1";
CTMCM.Inputs(2).Name = "CTMCM_inp2";
CTMCM.Outputs(1).Name = "CTMCM_out";
OTF = mamfis('Name','OTF','NumInputs',2,'NumOutputs',1);
OTF.Inputs(1).Name = "OTF_inp1";
OTF.Inputs(2).Name = "OTF_inp2";
OTF.Outputs(1).Name = "OTF_out";
con1 = ["Granulator/G_out" "CTMCM/CTMCM_inp1"];
con2 = ["CTMCM/CTMCM_out" "OTF/OTF_inp1"];
tree = fistree([Granulator CTMCM OTF],[con1;con2]);
plotfis(tree) % FIS tree structure
X=rand(1000,5); % imitation of original data
nn=size(X);
nt=round(0.8*nn(1,1)); % training sample size
trnX = X(1:nt,1:4);
trnY = X(1:nt,end);
vldX = X(nt+1:end,1:4);
vldY = X(nt+1:end,end);
options = tunefisOptions;
options.Method = 'particleswarm';
options.OptimizationType = 'learning';
options.NumMaxRules = 10;
options.UseParallel = false;
options.MethodOptions.MaxIterations = 2;
rng('default')
fisout1 = tunefis(tree,[],trnX,trnY,options);
% writeFIS(fisout1,'fis1') % does not work
% writeFIS(tree,'fis1') % does not work

 Réponse acceptée

Govind KM
Govind KM le 6 Déc 2024

1 vote

Hi Andrey,
Support for saving a FIS tree object to a MAT file using the writeFIS function has been added in MATLAB R2024b. I would recommend upgrading your MATLAB version to R2024b to save FIS tree objects as per your workflow.

Plus de réponses (0)

Catégories

En savoir plus sur Fuzzy Logic Toolbox dans Centre d'aide et File Exchange

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by