The environmental quality evaluation of Port regional Based on BP Neural Network and Case Study

摘要

The pollution of Qinhuangdao Port is the bottleneck of economic development, so how to correct the environmental assessment of the work environment has important significance. The main pollutants in Qinhuangdao port is coal dust pollution, through various observation points on the measurement indicators of pollutants by EPA experts scoring can get a group of data, and then through various BP neural network on a comprehensive evaluation of data, one can draw the actual final objective evaluation for environmental protection work provides a theoretical and practical basis.