| Artificial Neural Network (ANN) has been employed by researchers in obtaining accurate estimates of evapotranspiration rate. Generalized Regression Neural Network (GRNN) and Feed Forward Back Propagation Neural Network (FFBP NN) were used to estimate evapotranspiration rate in Kano State, Northern Nigeria to ascertain its modelling accuracy under less input parameters. A 25-year monthly - time step of climatological data was collected from IITA (International Institute of Tropical Agriculture) station. The data was grouped into 12 different input combination with training and validation sets. GRNN results indicate the lowest performance ranking as the lone solar radiation input combination (GRNNSr) having R = 0.3603, R2 = 0.1298, MSE = 1.4356, RMSE = 1.982... |
