I'm new to Neural Networks and I am trying to train an NN by simply loading two different time series data x and y, which are 300 x 1 vectors. x is the set of values of the predictor variable, and y is the dependent (output) variable. By the way, is this logic true? Or do I need to provide different parts of y ?
Anyway, when I call
net = train(feedforwardnet(20),x,y); the training stops immediately to tell me that the performance goal is met. See the picture below :
So I guess I need to change some parameters, like the error threshold or something, but I don't know what, so I am seeking for an explanation for what I'm doing wrong.
Thanks for any help !
Even though x and y are different, they are following a similar trend, so they are correlated, that may be a clue for the issue. I have also tried normalizing the values, still nothing changes.