Application of artificial neural network for determination of wind induced pressures on gable roofs

Artificial Neural Networks (ANN) have the capability to develop functional relationships between input-output patterns obtained from any source. Thus ANN can be conveniently used to develop a generalised relationship from limited and sometimes inconsistent data. Thus ANN can be applied to tackle the data obtained from the wind tunnel tests on building models with large member of variables. In this paper ANN model has been developed for predicting wind induced pressures in various zones of a Gable Building from limited test data. The procedure can also be extended to account for the interference effects.