基于ARIMA-Adam-LSTM模型的广州市空气质量预测研究_OpenScirbe Publishing

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基于ARIMA-Adam-LSTM模型的广州市空气质量预测研究

Author(s)：
王思坤1 王慧2 叶超3

Publication Title：

Wen Yuan (Middle School Edition) 2021 No.12

Affiliations：
成都理工大学数理学院

Abstract：
空气质量指数(AQI)是评估空气质量对健康影响程度的重要指标之一，为掌握AQI的波动情况，本文收集了广州市空气质量相关数据，并对AQI建立空气质量预测模型，具体包括ARIMA模型、Adam-LSTM模型以及ARIMA-Adam-LSTM混合模型进行预测，根据预测结果可知，ARIMA-Adam-LSTM组合模型相对ARIMA模型和Adam-LSTM模型预测效果更佳，评价指标也都显著优于ARIMA模型和Adam-LSTM模型，并且ARIMA-Adam-LSTM组合模型可以有效地捕获AQI数据的极值变化情况，使得结果更加接近实际情况，可为空气质量指数预测提供新的科学方法。

Keywords：
空气质量指数；ARIMA模型；Adam-LSTM模型；ARIMA-Adam-LSTM组合模

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[1] 王思坤1,王慧2,叶超3.基于ARIMA-Adam-LSTM模型的广州市空气质量预测研究[J].Wen Yuan (Middle School Edition),2021(12),.

文渊(中学版)

Wen Yuan (Middle School Edition)

Language: 中文

CN：11-9275/G

ISSN：2096-627X

Publication Frequency: 月刊

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