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The paper describes a study about effects of upstream hills on design wind loads using twoshort). For this purpose CFD and NN tools have been developed using an object-oriented approach andC++ programing language. The CFD tool consists of solving the Reynolds time-averaged Navier-Stokesequations and kε turbulence model using body-fited nearly-orthogonal coordinate system. Subsequently,design wind load parameters such as speed-up ratio values have been generated for a wide spectrum oftwo-dimensional hill geometries that includes isolated and multiple step and shallow hills. Groundroughness effect has also been considered. Such CFD solutions, however, normaly require among otheruser, an easier, faster and more inexpensive NN model trained with the CFD-generated data is proposedin this paper. Prior to using the CFD data for training purposes, extensive validation work has beencarried out by comparing with boundary layer wind tunnel (BLWT) data. The CFD trained NN (CFD-design standards such as the Comentaries of the National Building Code of Canada (1995). The CFD-NN results compare well with BLWT data available in literature and the proposed aproach requiresfewer resources compared to running BLWT experiments.