how to predict next value using time series data?

1 次查看(过去 30 天)
I am having 2 patient glucose data(y(t)) and the inputs feature values (time,meal) for 3 days. How can i predict the next time step glucose value. I am little bit confuse about how to give data to neural network. input= time, meal output=glucose data depending on time and meal, output glucose level is calculated. So how should i store my data in excel sheet so that i can do the good prediction.
  5 个评论
madhuri panwar
madhuri panwar 2016-6-4
Dear Sir, Thank You once again for responding me.
[I N(1)]= Size(input1)=144 samples [I N(2)] =Size(input2)=144 samples [I N(3)]= Size(input3)=144 samples [O N] = Size (target)=144 samples samples are taken for three day and 1 sample in every 30 min (48 for 24 hours) (48*3days=144)
Here i am having 3 inputs- time, meal and insulin output - glucose
Greg Heath
Greg Heath 2016-6-4
Why do you try to make it so confusing? Just type the following into the command line and tell me what you get
[ I N ] = size(input)
[ O N ] = size(target)
Greg

请先登录,再进行评论。

回答(1 个)

Greg Heath
Greg Heath 2016-6-6
OK I get it:
[ I N ] = size(input) % [ 3 144 ]
[ O N ] = size(target) % [ 1 144]
Hope this helps.
Thank you for formally accepting my answer
Greg

类别

Help CenterFile Exchange 中查找有关 Conditional Mean Models 的更多信息

Community Treasure Hunt

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

Start Hunting!

Translated by