Gas emission prediction model based on genetic algorithm and fuzzy multivariate linear regression analysis

In view of problem that classical linear regression model cannot completely reflect coupling relationship among variables and it is not suitable for gas emission prediction with fuzzy number, the paper proposed a gas emission prediction model based on genetic algorithm and fuzzy multivariate linear regression analysis. The model uses gray relation analysis method and SPSS software linear regression analysis method to determine main factors influencing on gas emission, and divides history data sample into modeling data sample and detection data sample and uses genetic algorithm to get center value and fuzzy amplitude value of fuzzy regression parameters. Experiment result shows that the model has higher precision and operability.