How can I improve the accuracy of classification of real-time time series data?

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JIWON JUNG
JIWON JUNG 2022-1-27
回答： Yash 2023-12-18
Although accuracy is high when learning time series data (AC voltage or current value) with a cycle on a 1-D CNN,
In fact, if input data is input one at a time (because it is actually input like that), the accuracy is very poor. Is there a way to improve accuracy?
(Except for data preprocessing techniques...)

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Yash
Yash 2023-12-18
Hi Jiwon,
I understand you want to improve the accuracy of classification of real-time time series data. One way to improve the accuracy of a 1-D CNN for time series data is to use a sliding window approach. Instead of feeding the data one sample at a time, you can group several samples together and feed them to the network as a batch. This can help the network capture temporal dependencies and improve its accuracy.
To know how to implement sliding window algorithm in MATLAB, you refer to the following accepted MATLAB Answer: https://in.mathworks.com/matlabcentral/answers/24923-how-to-implement-sliding-window-algorithm-in-matlab
Hope this helps!

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