Tue, 08/23/2011 - 07:32 am
NeuralNetworkTrain Iterations = 1e6, MinError = 1e-8, Momentum=0.075, LearningRate=0.05, nhidden=18, input=trainingDataWave ,output=trainingResultWave
Using the same input and output data, I get different RMS errors from run to run after 1E6 iterations (deleting the interconnection weight waves between runs), and therefore I guess slightly different interconnection weights. Is this not designed to be totally repeatable?
I'm not too worried, as the RMS errors on my training data are respectably small, but just wanted to check I wasn't missing something fundamental here...
Thanks in advance for reassurance or for pointing out my stupidity.