An Intelligent Data Analysis System Combining ARIMA and LSTM for Persistent Organic Pollutants Concentration Prediction

An Intelligent Data Analysis System Combining ARIMA and LSTM for Persistent Organic Pollutants Concentration Prediction

Persistent Organic Pollutants (POPs) are toxic and difficult to degrade, which will cause huge damages to human life and the ecological environment. Therefore, based on historical measurements, it is important to use intelligent methods and data analysis technologies to build an intelligent predicti...

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Bibliographic Details
Main Authors:	Lu Yu, Chunxue Wu, Neal N. Xiong
Format:	Article
Language:	English
Published:	MDPI AG 2022-02-01
Series:	Electronics
Subjects:	data analysis time series LSTM model ARIMA model concentration prediction
Online Access:	https://www.mdpi.com/2079-9292/11/4/652

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