A Neural Network Forecasting Model of Beijing Environment Quality Based on Set Pare Analysis

By using neural networks, Beijing environment quality is forecasted, and connection number and total partial connection number of the set pair analysis (SPA) are obtained. Principal factors and development trend are sequenced based on absolute relative error between sample value i x and predominant value i y so as to set up a mathematics model of forecasting Beijing environment quality. The instance analysis shows that it's a scientific and practicable method of system analysis with a higher forecasting accuracy.