Lobat Kosari-Moghaddam
Department of Water Engineering, Faculty of Agriculture, Ferdowsi University of Mashhad
[ 1 ] - Developing a Radial Basis Function Neural Networks to Predict the Working Days for Tillage Operation in Crop Production
The aim of this study was to determine the probability of working days (PWD) for tillage operation using weather data with Multiple Linear Regression (MLR) and Radial Basis Function (RBF) artificial networks. In both models, seven variables were considered as input parameters, namely minimum, average and maximum temperature, relative humidity, rainfall, wind speed, and evaporation on a daily ba...
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