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Forecasting and analysing global average temperature trends based on LSTM and ARIMA models.

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Title: Forecasting and analysing global average temperature trends based on LSTM and ARIMA models.
Authors: Tan, Can1,2 (AUTHOR), Zhong, Junyi3 (AUTHOR), Yang, Dajun4 (AUTHOR), Huang, Weiming5 (AUTHOR) weiming.stephy@gmail.com
Source: PLoS ONE. 9/3/2025, Vol. 20 Issue 9, p1-27. 27p.
Database: Academic Search Ultimate
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  Data: Forecasting and analysing global average temperature trends based on LSTM and ARIMA models.
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  Data: <searchLink fieldCode="AR" term="%22Tan%2C+Can%22">Tan, Can</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhong%2C+Junyi%22">Zhong, Junyi</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yang%2C+Dajun%22">Yang, Dajun</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Huang%2C+Weiming%22">Huang, Weiming</searchLink><relatesTo>5</relatesTo> (AUTHOR)<i> weiming.stephy@gmail.com</i>
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  Data: <searchLink fieldCode="JN" term="%22PLoS+ONE%22">PLoS ONE</searchLink>. 9/3/2025, Vol. 20 Issue 9, p1-27. 27p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=187724712
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      – Type: doi
        Value: 10.1371/journal.pone.0330645
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      – Code: eng
        Text: English
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        PageCount: 27
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      – TitleFull: Forecasting and analysing global average temperature trends based on LSTM and ARIMA models.
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            NameFull: Tan, Can
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            NameFull: Zhong, Junyi
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            NameFull: Yang, Dajun
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              Text: 9/3/2025
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              Y: 2025
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