Application of BP Network Model Based on PSO for the Forecast of Drought and Flood
Cao JiePing, Chi Dao-cai, Liu Li, LI Shuai-ying, Miao Yu · Shenyang Nongye Daxue xuebao · 2009
Drought and flood forecasting for the defense of the measures of droughts and floods provided an important basis for research.BP network model based on PSO established a drought and flood forecasting model,BP network model based on PSO,both played a BP neural network in the area of the advantages of projections.At the same time,PSO algorithm combined the global search capability,fast convergence,and other characteristics to forecast.The forecast result showed that the measured data of Benxi area in past years verified BP network model based on PSO model.BP network model based on PSO model predicted significantly better than without optimization.Model accuracy has been improved to a certain extent to meet the actual needs of drought and flood forecasting in Benxi.