چكيده لاتين :
Present paper endeavors to develop predictive artificial neural network model for forecasting the
mean monthly total ozone concentration over Arosa, Switzerland. Single hidden layer neural network models with
variable number of nodes have been developed and their performances have been evaluated using the method of least
squaresand errorestimation. Their performances have been comparedwith multiple linear regression model. Ultimately,
single-hidden-layer model with 8 hidden nodes have been identified as the best predictive model.
