Development of Artificial Neural Network Models for Long-Range Meteorological Parameters Pattern Recognition over the Smaller Scale Geographical Region-District

Abstract

Attempt to recognize pattern of meteorological parameters over the smaller scale geographical region (district) artificial neural network models have been developed. 54 years data for 1951-2004 have been used, of which the first 41 years (1951-1991) of data are used for training the network and data for the period 1991-2004 are used independently for validation. We have found that the mean absolute deviation (% of mean) between actual and predicted values of the each model is less than and half of the standard deviation (% of mean) in the independent period (1991-2004). The performances of these models in pattern recognition and prediction have been found to be extremely good. The models are developed and their evaluations have been presented in this paper.