how can Levenberg Marquardt algorithm be implemented in script to train a neural network

I have constructed the network to fit a time series data in script. The network has two hidden layers of size 4 each and want to train it using Levenberg Marquardt algorithm taking mse as the performance. I am seeking help as to how should I implement this algorithm in script as it is not very much clear in MATLAB help. I will be very grateful if you can explain it with a simple example as i am unable to find one. Thank you.

Answer 1

[Greg Heath]

help narxnet doc narxnet

One hidden layer should be sufficient. However you should use the target autocorrelation and target-input crosscorrelation functions to help determine which input and feedback delays to use.

 greg narxnet nncorr

Hope this helps.

Thank you for formally accepting my answer

Greg