Scene Prediction of China's Carbon Emissions Based on Particle Swarm Optimization Neural Network

摘要

Based on the international community's analysis of the CO_2 emissions situation, this paper intends to predict China's carbon emissions adopting the algorithm of BP neural network optimized by particle swarm optimization. Under this guideline, 8 variables are chosen as influence factors in studying carbon emissions based on the analysis of influence factors of carbon emissions. Following this situation. China's carbon emissions prediction model is established with the actual data from 1978 to 2013 by using the BP neural network optimized by particle swarm. Finally, this paper makes a prediction of China's carbon emissions from 2014 to 2018 under four kinds of developing situations of economy and conies to conclusions.