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Hello, jingw2:
I use matlab 2020 official deep learning example code (LSTM) to do time series data prediction, the result is that I have not learned the characteristics of the amplitude change of the original signal, but learned the quasi periodic characteristics, as shown in the figure:
overview picture
Details of the picture
Is this pure signal data time series suitable for deep learning prediction?
I want to improve the prediction accuracy,For example, the prediction accuracy is increased from RMSE = 289 to RMSE = 220?Please give me your advice,thank you very much!
best wishes,
Mr.Wang
The text was updated successfully, but these errors were encountered:
Hello, jingw2:
I use matlab 2020 official deep learning example code (LSTM) to do time series data prediction, the result is that I have not learned the characteristics of the amplitude change of the original signal, but learned the quasi periodic characteristics, as shown in the figure:
overview picture
Details of the picture
Is this pure signal data time series suitable for deep learning prediction?
best wishes,
Mr.Wang
The text was updated successfully, but these errors were encountered: