Dam's Safety Monitoring Statistical Model Optimization Basing on The GA and AIC
Xinmiao Wu, Z. Qie, Hongquan Liu, H. Furuta · 2006
It is difficult to select influence factors when the dam's monitoring model is built, so the Akaike information criterion (AIC) used in the field of information statistics is introduced. Both the fitting to modeling data and prediction precision to other data are considered in the AIC formula. The optimization method basing on GA and AIC is introduced. The method is applied to practical engineering, and the comparison with multiple regression, stepwise regression and neural network model shows the monitoring model optimized by the method can reach higher fitting and prediction precision by lesser factors and data