The Efficiency of Input Determination Techniques in ANN for Flood Forecasting, Mun Basin, Thailand

2015 International Conference on Water Resource and Environment(WRE2015)——The selection of input variables from different techniques can provide different artificial neural network (ANN) model performances. This study utilizes an ANN model to forecast the water level at the M.7 gauge station for t+48 hour.

关键词: input determination;mun basin;flood forecasting;artificial neural network 2015 International Conference on Water Resourc

主讲人:Dr. Tawee Chaipimonplin 机构:Chiang Mai University, Thailand

时长:0:11:08 年代:2015年