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

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Preeti Prajapati 2014-7-10

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https://ww2.mathworks.cn/matlabcentral/answers/141195-how-can-levenberg-marquardt-algorithm-be-implemented-in-script-to-train-a-neural-network

回答： Greg Heath 2014-7-12

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.

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Answer 1

Greg Heath 2014-7-12

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此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/141195-how-can-levenberg-marquardt-algorithm-be-implemented-in-script-to-train-a-neural-network#answer_144765

在 MATLAB Online 中打开

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