Using NARXnet clarification input delays
4 次查看(过去 30 天)
显示 更早的评论
I am trying to learn more about using narxnet to predict future values of a times series. I am having trouble finding a good explanation for the the Inputdelays actually is. Can anyone help me out with a simplified explanation.
0 个评论
回答(1 个)
Vatsal
2023-9-29
I understand that you want to use "narxnet" to predict the values of a time series. The “inputDelays” parameter in a NARX neural network determinesthe number of past time steps of the input time series that the network considers when making predictions for future time steps.
For example, if “inputDelays” is set to 1:2 with inputs “X” and Targets “T”, it means that the model uses the set "{x(i-1), x(i-2)}” to predict "t(i)".
If you need more information about the "inputDelays" parameter, I recommend referring to the following resources: -
I hope this helps!
0 个评论
另请参阅
类别
在 Help Center 和 File Exchange 中查找有关 Sequence and Numeric Feature Data Workflows 的更多信息
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!