how to predict next value using time series data?

2016 5 31
1 个回答
更新时间：2016 6 6
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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.

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Greg Heath
Greg Heath 2016-6-1
Do you have enough data??
[ I N ] = size(input) % = ?
[ O N ] = size(target) % = ?
Greg
madhuri panwar
madhuri panwar 2016-6-2
Thank You for your response sir. size(input1)= 144 data(3 days ,data taken every 30 min) size(input2)=144 data(3 days ,data taken every 30 min) size(output)=144 data
Greg Heath
Greg Heath 2016-6-3
编辑：Greg Heath 2016-6-3
I do not understand . The command size NEVER yields a single number.
What are the two-dimensional sizes of your input and target matrices? The 2nd, N, is the number of input-output pairs.
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

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回答（1 个）

Greg Heath
Greg Heath 2016-6-6

0 个投票

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

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