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My application scenario is similar to the previous one Pattern recognition in time series

By processing a time series dataset, I Would like to detect patterns that look similar to this: enter image description here Using a sample time series as an example, I would like to be able to detect the patterns as marked here: enter image description here

But I want to do it with python and LSTM.

I have read some resouces about the RNN time series and word classification.I know how RNN predicts results in time series, but I'm puzzled how to find a pattern in time series.

I am searching for a long time on net. But no use. Please help or try to give some ideas how to achieve this.

Since I am not a native English speaker, if there is anything I didn't describe clearly, please ask.Thank you!

yingxing.bao
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You may refer to this nice tutorial : https://github.com/guillaume-chevalier/seq2seq-signal-prediction

It can find pattern of sinewave and generate future values.

Avijit Dasgupta
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  • Thank you for your answer.But after I read the "Readme.md",I could't find which exercise is used to find a pattern in time series.I have known how to predict the future values. – yingxing.bao Oct 18 '17 at 02:14
  • Could you tell me which exercise can find pattern of signals directly or by modifying its code appropriately. – yingxing.bao Oct 18 '17 at 02:22
  • @Neil Han I looked at your answer to the question "[Pattern recognition in time series](https://stackoverflow.com/questions/11752727/pattern-recognition-in-time-series)", I think it's very useful, can you please tell me how the LSTM is used for pattern recognition? – yingxing.bao Oct 18 '17 at 08:47
  • Hello @yingxing.bao! Did you find the answer to your question? I have the same task now. Could you give me a few recommendations? – Alexander Ananev Sep 15 '19 at 10:29
  • Sorry, I haven't done this work since then, but you can look at some algorithms like dynamic time warping. That might be useful. – yingxing.bao Sep 16 '19 at 12:09