MATLAB Answers

TDNN multistep prediction with unknown future data for the target

2 ビュー (過去 30 日間)
Hugo Mendonça
Hugo Mendonça 2015 年 11 月 16 日
コメント済み: Hugo Mendonça 2015 年 11 月 17 日
Hi, everyone!
I am a little bit confused how to use a time delay neural network for multistep ahead prediction.
By my system characteristics, I must use a time delay neural network and not others. So, from previous measurement, I know the input and target time series, where:
Xdata(1:500) (input)
Tdata(1:500) (target)
Let's create the neural network:
net = timedelaynet(1:10,10);
[Xs,Xi,Ai,Ts] = preparets(net,Xdata,Tdata);
net = train(net,Xs,Ts,Xi,Ai);
I can clearly understand all the procedure until this point. However, I do not know how to prepare the new input data to be predicted and to use the net. I mean, in the future, I will just know the input data. So, how I could predict it? For example:
Xnew1(1:50);
Y1 = net(Xnew1,Xi,Ai);
Ans further, for a new data:
Xnew2(51:100);
Y2 = net(Xnew2,Xi,Ai);
Would it be the same? With the same Xi and Ai?
Thanks for helping!

採用された回答

Greg Heath
Greg Heath 2015 年 11 月 17 日
In general, PREPARETS will yield the correct inputs. However, for TIMEDELAYNET, just use common sense:
Ai = {} % There is no feedback
Xi = Xnew2(:,1:10);
Xnew2s = Xnew2(:, 10:end);
Hope this helps.
Thank you for formally accepting my answer
Greg
PS: See my tutorials
  1 件のコメント
Hugo Mendonça
Hugo Mendonça 2015 年 11 月 17 日
Thank you, Greg!
As I have seen, you are always helpful!
BTW, very god tutorial about NARNET. Maybe, in a very close future, I might use NARNET.
Thank you again!

サインインしてコメントする。

その他の回答 (0 件)

Community Treasure Hunt

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

Start Hunting!

Translated by