Evaluation of the Levels of Manufacturers Developing Low-Carbon on BP Neural Network

The low-carbon economy has become the mainstream of social development, but the energy use will inevitably produce high pollution and high emissions of gas with the high speed economic growth of manufacturing companies. Here, this network is introduced into the BP Energy Consumption of manufacturing companies. By description of the BP algorithm characteristics and analysis of the factors influencing low-carbon development of manufacturing, we can see the feasibility that energy consuming related factors on the business division of three levels constructs a evaluation model based on BP neural network. Through training and testing of the model, we can apply it into manufacturing enterprises to achieve low-carbon development in the manufacturing sector.