Save values from iterations

for r=1:5
    for w=1:100
Datax(r,:)=(W'*NewDatax(r,:)')';  % size: NewDatax 5X70
ntempDatax=Datax+b; 
Values(r,:)=ntempDatax(r,:)*z; % size: Values 5X30

% Mean Absolute Error
MAE(w,r)=mae(Values(r,:)-ActualData); % size: MAE: 5X100
    end
end

% Find the smallest value and position of each column
for r=1:5
    [min_MAE(r),Index(r)]=min(MAE(:,r))
end

% Comparison of the 5 values ​​obtained from above and selection of the smallest value and the position.
[min_Final_error,Final_Index]=min(min_MAE)
Final_Results=ForecastValues(Final_Index,:);

% Confirmation of results
a=mae(Final_Results-ActualData);

In the above code I have the matrix NewDatax (5X70) and I select each row of the specific matrix (NewDatax) and the above procedure is done and then I calculate the MAE. After each column of the matrix MAE I find the smallest value but also the position of the smallest value. Next, I compare the smallest value of each column and select the smallest value and its position so that all 30 values ​​are selected which give this small result. In the end I re-calculate the error-mae (a) to confirm if the results are correct. However, the following issue arises: The result given by a is the mae given by the values ​​of the last iteration. That is, the values ​​from the last iteration (5x30) are stored in matrix Values. How to save all values ​​from each iteration? That is, the size of the matrix Values should be 500x30. Your help is important.

Answer 1

[Manas Shukla]

As per my understanding, you want the variable “Value” to be of size (500*30) instead of (5*30). Since dimensions of the variable “Value” depends on the variable “Datax”, you should change the way you are indexing in “Datax”. Replace line number 3 of the code snippet you provided in the question with following:

Datax(100*(r-1)+w,:)=(W'*NewDatax(r,:)')';

This will modify the dimensions of the variable “Value” to (500*30).