The main objective of this paper is to employ the artificial neural network (ANN)
models for validating and predicting global solar radiation (GSR) on a horizontal
surface of three Egyptian cities. The feedforward backpropagation ANNs are utilized
based on two algorithms which are the basic backpropagation (Bp) and the Bp with
momentum and learning rate coefficients respectively. The statistical indicators are
used to investigate the performance of ANN models. According to these indicators,
the results of the second algorithm are better than the other. Also, model (6) in this
method has the lowest RMSE values for all cities in this study. The study indicated
that the second method is the most suitable for predicting GSR on a horizontal
surface of all cities in this work. Moreover, ANN-based model is an efficient method
which has higher precision.