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How to train a time series dataset ?

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Sara
Sara 2018-5-23
评论： Majid Farzaneh 2018-5-23
I have a data set with 2 columns (the first column is related to currents of a battery and the second column indicates the time seconds correspond to the current). what I want to do is training the currents data according to the time (second columns).I convert my data set in form of time-series object:
(ts = timeseries(datavals,timevals)). And now I want to train this object. However I am not sure whether it is possible or not and how can I do it.
I would appreciate any further help.

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Majid Farzaneh
Majid Farzaneh 2018-5-23
The attached file may help you.

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Majid Farzaneh
Majid Farzaneh 2018-5-23
编辑：Majid Farzaneh 2018-5-23
Hi, what's your purpose for training this data? A neural network can predict something for you. For example you can train the network by current as input and time as output, then use the network, give a current to it and it provides a time for you. This is a single input/ single output network and you can use a feedforwardnet like this:
net=feedforwardnet(10); % 10 is number of neurons in the first layer
net=train(net,inputs,targets);
Now you have a trained network and you can use it like this:
out=net(test_data)
Sara
Sara 2018-5-23
Hello Majid, thanks for your answer, I just want to train current's behavior according to the corresponding time. So that in case of new data the system would recognize this data is current not for example voltage.
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Sara
Sara 2018-5-23
Yes I can understand Persian. I would appreciate your help.
Majid Farzaneh
Majid Farzaneh 2018-5-23
编辑：Majid Farzaneh 2018-5-23
My comment in Persian considered as spam! Send your data if it's possible. I'll try to write a code for your purpose.

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Greg Heath
Greg Heath 2018-5-23
编辑：Greg Heath 2018-5-23
Consider current as a function of time.
The rest should be straightforward using FITNET.
HOWEVER, YOU HAVE USED THE TERM TIMESERIES. THIS COULD IMPLY THAT EACH POINT BEYOND THE ITH DEPENDS ON THE PREVIOUS I VALUES AND NOT NECESSARILY EXPLICITLY ON TIME.
Thank you for formally accepting my answer
Greg
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Sara
Sara 2018-5-23
Thanks for you answer. could you please explain how should I consider it as a time function. the main problem I've faced is that considering current as time function. probably my problem is not time series, and I am in mistake.
Thank you in advance.

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