嵌套循環模糊邏輯驗證

Question

使用Matlab中的模糊工具箱，我嘗試計算驗證集上的錯誤。首先使用交叉驗證將訓練和測試（驗證）集合中的初始訓練數據分開。然而，在這個驗證階段，我還想獲得genfis3函數中不同參數設置的錯誤。我想將此函數中的第四個輸入從2改爲10，並計算平均誤差。

fismat3 = genfis3(X1,Y1,'sugeno',2); 

整個代碼：

[m,~]=size(dataTrain); 
    CVO = cvpartition(m,'k',10); 
    err = zeros(CVO.NumTestSets,1); 

    for i = 1:CVO.NumTestSets 
    trIdx = CVO.training(i); 
    teIdx = CVO.test(i); 
    X1=Xtrain(trIdx,:); 
    X2=Xtrain(teIdx,:); 
    Y1=Ytrain(trIdx,:); 
    Y2=Ytrain(teIdx,:); 

    fismat3 = genfis3(X1,Y1,'sugeno',2); 
    fismat3 = anfis([X1,Y1],fismat3); 
    out1=evalfis(X2,fismat3); 
    ee=Y2-out1; 
    err(i)=mean(abs(ee)); 
end 
Error32 = mean(err) 

Answer 1

想通了：

[m,~]=size(dataTrain); 
CVO = cvpartition(m,'k',10); 
err = zeros(CVO.NumTestSets,9);%9 denotes the amount of different parameter setting you want to validate 
out = zeros(CVO.NumTestSets,1); 
ee = zeros(CVO.NumTestSets,1); 
for i = 1:CVO.NumTestSets %voor iedere test en training set 
    trIdx = CVO.training(i); %selecteer index training data 
    teIdx = CVO.test(i); %selecteer index test data 
    X1=Xtrain(trIdx,:); %Creer training input variabelen 
    X2=Xtrain(teIdx,:); %Creer test input variabelen 
    Y1=Ytrain(trIdx,:); % Creer training output variable 
    Y2=Ytrain(teIdx,:); % Creer test output variable 

for j = 2:10  
    fismat3 = genfis3(X1,Y1,'sugeno',j); %creer voor iedere test en training set een andere genfis 3 
    fismat3 = anfis([X1,Y1],fismat3); %optimaliseer using anfis 
    out1=evalfis(X2,fismat3);   
    ee=Y2-out1; 
    err(i,j-1)=mean(abs(ee)); 
end 

end 

Error = mean(err)