Training subsets of data in Matlab

[chamrik]

Hi all,

Maybe i shud put it this way. Suppose I want to perform training on part of the data and leave the rest for testing. the training set is separated into subsets whereby I train one subset first, and use its weights and biases as weights to the next subset and so on. Then how to I write that loop taking into consideration that after I present every sample for training I will repeat the same process. Under normal circumstances we do this:

net = newff(mimax(x),[2,2],{'logsig','purelin'},'traingd');
net = train(net,x,t);

But now I want to perform something like this:

net = train(net,xtrain1,ttrain1);
net = train(net,xtrain2,ttrain2);

Maybe at this stage I can simulate and then if need be train again, go back to the above step.

but how do I present this in a form of a loop?

Please help!

 

[mmwave]

Hi there,

Thank you for your question. To perform the training and testing process you described, you can use a for loop in your code. The for loop will iterate through each subset of the training data, perform the necessary training and testing steps, and then move on to the next subset. Here is an example of how you can structure your code using a for loop:

net = newff(mimax(x),[2,2],{'logsig','purelin'},'traingd'); %initialize your neural network

for i = 1:num_subsets %num_subsets represents the number of subsets you have in your training data
net = train(net,xtrain{i},ttrain{i}); %train the network using the current subset of training data
y = sim(net,xtest{i}); %simulate the network using the current subset of testing data
%perform any necessary calculations or evaluations on the simulated output
end

I hope this helps. Let me know if you have any further questions. Good luck with your project!

 

[tacman]

Hi there,

To train subsets of data in Matlab, you can use a for loop to iterate through each subset and train the network using the train function. Here is an example of how you can do this:

net = newff(mimax(x),[2,2],{'logsig','purelin'},'traingd'); % initialize the network

for i = 1:num_subsets % loop through each subset
net = train(net, xtrain{i}, ttrain{i}); % train the network using the current subset
end

In this example, xtrain and ttrain are cell arrays containing the training data for each subset. You can also use a similar approach for testing the network on the remaining data. Hope this helps!