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Estimation of Mixing Length of Buoyant Jet Using Neural Network
unpublished
For many engineering problems, a buoyant jet is commonly used. It possesses both momentum and buoyancy, and it is usually discharged at an inclined angle, so asymptotic solutions for vertical jets and plumes are inadequate. To obtain the mixing characteristics of an inclined buoyant jet (such as the jet path and jet concentration), a general jet integral model is often used. In this paper a triple multilayer perceptron is used for analyzing the length and height trajectory of a typical buoyant
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