MATLAB: Help with ntstool future value predictions

neuralneural networkntstoolpredictiontime series

Hi all,

I am currently using the ntstool app to attempt to predict future data points. I have 1405 output points which I can successfully receive a plotted response for using the app once trained. Just unclear as to how to output the following 10 (predicted) data points. Any help would be greatly appreciated!

Thanks

Best Answer

Since you don't mention an input/output scenario, I assume you are using a NARNET on a single feedback series. Search

                      Newsgroup        Answers
closeloop NARNET         24              74
greg closeloop NARNET    24              69

I would start with the NEWSGROUP posts in reverse order.

Hope this helps.

Thank you for formally accepting my answer

Greg

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MATLAB: Unfolding of recurrent neural nets for back-propagation training

You question doesn't make any sense to me. Have you

1. Read the documentation

 help layrecnet
 doc layrecnet

2. Searched "layrecnet" in previous postings of both the NEWSGROUP and ANSWERS?

Hope this helps.

Greg

MATLAB: How to export predictions

On the Classification Learner app, there is "export model" button.

After you have the model exported to your workspace, you can use

yhat = model.predictFcn(x)

where x is your input or test data.

If you want to write the variable yhat to csv, use csvwrite() or any similar function.

A helpful link:

https://www.mathworks.com/help/stats/export-classification-model-for-use-with-new-data.html?s_tid=answers_rc2-1_p4_MLT

Best Answer

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MATLAB: Unfolding of recurrent neural nets for back-propagation training

MATLAB: How to export predictions

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