Mohammadreza Ashrafi Gol
Department of Civil Engineering, KN University of Technology, Tehran, Iran
[ 1 ] - Forecasting of rainfall using different input selection methods on climate signals for neural network inputs
Long-term prediction of precipitation in planning and managing water resources, especially in arid and semi-arid countries such as Iran, has a great importance. In this paper, a method for predicting long-term precipitation using weather signals and artificial neural networks is presented. For this purpose, climatic data (large-scale signals) and meteorological data (local precipitation and tem...
نویسندگان همکار