%0 Journal Article
%T 基于优化BP神经网络的全国碳排放量的预测<br>Prediction of National Carbon Emissions Based on Optimized BP Neural Network
%A 杨文静
%J Advances in Applied Mathematics
%P 89-97
%@ 2324-8009
%D 2025
%I Hans Publishing
%R 10.12677/aam.2025.141012
%X 本文根据2000年至2021年我国各省份的碳排放量数据&#65292;基于碳排放量影响因素建立BP神经网络和遗传算法优化的BP神经网络模型&#65292;对我国的碳排放量进行预测。结果表明&#65292;遗传算法优化的BP神经网络模型的预测精度优于BP神经网络&#65292;更适合用于碳排放量的预测。<br>Based on the carbon emission data of various provinces in China from 2000 to 2021, this paper establishes a BP neural network model optimized by BP neural network and genetic algorithm based on the influencing factors of carbon emission to forecast China&#8217;s carbon emission. The results show that the prediction accuracy of BP neural network model optimized by GA is better than that of BP neural network, and it is more suitable for carbon emission prediction.
%K 碳排放&#65292
%K BP神经网络&#65292
%K 遗传算法&#65292
%K 预测<br>Carbon Emissions
%K BP Neural Network
%K Genetic Algorithm
%K Prediction
%U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=105376