نوع مقاله : مقاله پژوهشی
عنوان مقاله English
نویسندگان English
The effects of non dimensional distance between ground and trailing edge and angle of attack on aerodynamic forces of non-slender delta wing are analysed using artificial neural network in the present study. The capability of radial basis function algorithm in prediction of data was estimated using statistical parameters, after extraction data from base article. The graph of lift coefficients into distance between ground and trailing edge and angle of attack were redrawn by predicted data. Then, in order to the determination of algorithm efficiency, precision of test data prediction was determined in different type of train data. Finally, prediction of drag coefficients were carried out using radial basis function of present study. The regression coefficient was found to be 1.0, and the coefficient of determination (R²) was 0.998 for predicting the lift coefficient. Moreover, the prediction error for calculating the drag coefficient using the neural network was less than 4%.
کلیدواژهها English
