Bayesian Hyperparameter for Anfis

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Raghu 2021-6-26

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https://ww2.mathworks.cn/matlabcentral/answers/865980-bayesian-hyperparameter-for-anfis

编辑： Raghu 2021-6-29

Hello,

I tried developing codes for ANFIS for 2 inputs and 1 output using example provided by the Matlab. I would like to optimise it using the bayesian optimisation for hyperparameter tuning such as membership function and parameter tuning. Can someone please help me with that because the code is not working?

This is my code for the ANFIS:

Daten = rand(100, 3);

Daten(:,3) = Daten(:,1) + Daten(:,2) + .1*randn(100, 1);

[m,n] = size(Daten) ;

[m,n] = size(y) ;

% Split into train and test

P = 0.7 ;

Training = y(1:round(P*m),:) ;

Testing = y(round(P*m)+1:end,:);

XTrain = Training(:,1:n-1);

YTrain = Training(:,n);

XTest = Testing(:,1:n-1);

YTest = Testing(:,n);

cv = cvpartition(numel(YTrain), 'Holdout', 1/3);

% Define hyperparameters to optimize

vars = [optimizableVariable('MF', [1,20], 'Type', 'integer');

optimizableVariable('EN', [1,100], 'Type', 'integer')];

% Optimize

minfn = @(vars)kfoldLoss(XTrain', YTrain', cv, vars.MF, vars.EN);

results = bayesopt(minfn, vars,'IsObjectiveDeterministic', false,...

'AcquisitionFunctionName', 'expected-improvement-plus');

vars = bestPoint(results);

% ANFIS model

a= Training % training data

x= [a(:,1),a(:,2)]; % input for anfis

opt = anfisOptions('InitialFIS',vars.MF,'EpochNumber',vars.EN);

opt.DisplayErrorValues = 0;

opt.DisplayStepSize = 0;

fis = anfis(y,opt);

anfisOutput= evalfis(fis,x);

z= anfisOutput;

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