How to use trained narx network

11 ビュー (過去 30 日間)
Chadi Agoumi
Chadi Agoumi 2018 年 2 月 20 日
回答済み: Taylor Ballard 2020 年 3 月 10 日
Hi,
I am using weather parameters in order to predict solar radiation. I have used nnstart command in order to create the neural network. I first used the fitting app feature and, after saving the network, I started to use the command "y = net(inputs_data)" in order to get the predictions for a new set of inputs.It was working great. However, I realized that using a NARX network (within time series app) would give me a more accurate prediction. My issue is that I do not know how to get predictions using a new set of data once I have trained and save the NARX network as the previous command "y = net(input_data)" doesn't work in this case. I would like to precise that I only know the output values (solar radiation) for past dataset (used for the training/validation/test part) and not for the prediction process. Hence I would like to know if there is any similar command (y = net(input_data)) for NARX networks.
Thank you.

回答 (2 件)

Meeshawn Marathe
Meeshawn Marathe 2018 年 3 月 2 日
Go through this documentation link. It guides you on how to train and then test the NARX model developed.
https://in.mathworks.com/help/nnet/ug/design-time-series-narx-feedback-neural-networks.html

Taylor Ballard
Taylor Ballard 2020 年 3 月 10 日
I'm not an expert, but I used the following line of code in its own script file after saving my network as "net" and my new input data as "IData". YPred is my new prediction.
Ypred=sim(net,IData);
Hope that helps!

カテゴリ

Help Center および File ExchangeSequence and Numeric Feature Data Workflows についてさらに検索

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by