基于BP神经网络算法和时间序列模型的气温预测方法

Global Temperature Prediction Based on BP Neural Network Algorithm and Time Series

基于2022年亚太杯数学建模竞赛中关于全球气候变化问题的第一问展开研究,使用BP神经网络算法和时间序列模型预测未来全球气温达到20℃的年限,并对预测结果进行检验,结果表明时间序列模型预测精度更高。

This paper is based on the first question of the 2022 Mathematical Modeling Asia-Pacific Cup competition on global climate change.The BP neural network algorithm and time series model are used to predict the year when the global temperature reaches 20℃in the future,and the prediction results are tested.The results show that the time series model has higher prediction accuracy.