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LSTMs for Time Series Forecasting in Matlab 2017b

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Rhythm Shah
Rhythm Shah on 26 Nov 2017
Commented: nora mahmoud on 17 Mar 2019
I have a series of queries:- 1] How can I perform time series forecasting i.e. given a time series of lets say 'x' time steps and predicting the next 'y' time steps (consecutively). Can I use the regression layer after the last layer or will I have to convert my time series problem as a classification problem?
2] What is the significance of padding?
3]How do I prepare a dataset from a time series to be put into use for training the LSTM network?
4]Within the documentation for LSTM layers, under the sub-topic: 'list parameters' what Output Mode (sequence/ last) should I select and when?
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nora mahmoud
nora mahmoud on 17 Mar 2019
did you reach to solution , if you reached please help me , as i have the same problems..

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Answers (1)

Abolfazl Nejatian
Abolfazl Nejatian on 8 Dec 2018
here is my code,
this piece of code predicts time series data by use of deep learning and shallow learning algorithm.
best wishes
Abolfazl Nejatian

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