LSTM and ARIMA prediction model evaluation table.

<div><p>Previous studies have demonstrated a significant correlation between global average temperature change trends and greenhouse gases, and employed various prediction models. However, the potential of the combination of the LSTM and ARIMA models for temperature forecasting has not b...

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محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Can Tan (17023632) (author)
مؤلفون آخرون:	Junyi Zhong (12679276) (author), Dajun Yang (88289) (author), Weiming Huang (3997076) (author)
منشور في:	2025
الموضوعات:	Ecology Cancer Inorganic Chemistry Science Policy Biological Sciences not elsewhere classified slowing global warming reliable prediction method implementation delay leads enhancing prediction accuracy ecological environment governance global temperature rise global average temperature comprehensive temperature forecast global mean temperature mean temperature term dependencies strongly negative severe issues individual models greenhouse gases fully explored findings reveal early trend capturing long arima models arima model
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LSTM and ARIMA prediction model evaluation table.

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