What is best BP training function to train data with following input in MLP?
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I have a lorenz time series data with 3*19999 input and same size of target data. I have to train this network with MLP by using delta learning rules with Back propagation. The hidden layer will use sigmoid activation function and linear function for output layer.
I want to know that which training function should I use for the network training.
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Accepted Answer
Greg Heath
on 7 Apr 2014
Defaults are
trainlm for regression
trainscg for classification and unit column vector targets
trainrp for huge datasets
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