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  1. Prediction of pressure coefficients on roofs of low buildings using artificial neural networks

    26 Sep 2014 | Citations | Contributor(s): Y Chen, G.A Kopp, D Surry

    This paper describes an artificial neural network (ANN) approach for the prediction of mean and root-mean-square (rms) pressure coefficients on the gable roofs of low buildings. The ANN models,...

    http://nees.org/resources/12926

  2. Interpolation of pressure coefficients for low-rise buildings of different plan dimensions and roof slopes using artificial neural networks

    26 Sep 2014 | Citations | Contributor(s): X. Gavalda, J. Ferrer-Gener, Gregory A. Kopp, Francesc Giralt

    Database-assisted design (DAD) is emerging as an important tool to design buildings for wind effects. However, there is a need for robust interpolation methods for pressure coefficients to extend...

    http://nees.org/resources/12928