chamrik
Oct5-06, 04:40 PM
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!
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!