An Empirical Study on Low Carbon Development Model of China's Energy Economy Based on Neural Networks

This paper on the low-carbon development model at home and abroad is introduced, on the basis of further defined related concepts of low carbon development, and then on the basis of familiar with the related concepts, introduces the related carbon decomposition model, then the particle swarm optimization (pso) algorithm and BP neural network for the corresponding introduction, on the basis of related theory, multi-dimensional decomposition model of carbon productivity in our empirical study, analysis and comparison in compared with the base in different industries in various provinces the contribution values of different influence factors on the carbon productivity in our country.