Describes an investigation of the possibility of using artificial neural networks to predict air pressure coefficients across openings in a lightweight single-sided naturally ventilated test room. The network was trained using experimental values. A monitoring experiments was carried out on the outside local temperature, wind velocity and direction. Estimates were made of the pressure coefficients at the top and bottom of the openings from the recorded data of air pressures and velocities across the openings with indoor air temperatures.
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