Rainfall estimation using M-PHONN model

Multi-polynomial high order neural network (M-PHONN) model has been developed in this paper. The M-PHONN model for estimating heavy convective rainfall from satellite data was tested. The M-PHONN model has 5% to 15% more accuracy than the polynomial and trigonometric polynomial model and the polynomial higher order neural network models. Using ANSER-plus expert system, the average rainfall estimate errors for the total precipitation event can be reduced to less than 20%.

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