Application research of three layer BP network on performance evaluation of wet cooling tower under cross-wind conditions

Abstract

Based on the level Froude number (Fr <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">l</sub> ), A three-layer back propagation (BP) network model which has one hidden layer is developed, and the node number in the input layer, hidden layer and output layer are 4, 8 and 6, respectively. This model adopts the improved BP algorithm, that is, the gradient descent method with momentum. This BP predicted model demonstrated a good statistical performance with the MRE and R in the range of 0.48%-3.92% and 0.992-0.999, respectively, and the RMSE values for the ANN training and predictions were very low relative to the range of the experiments. Because the level Froude number is involved, this BP network model can be used to predict the thermal performance of prototype tower in large-scale power plants, and providing the theoretical basis on the research of heat and mass transfer inside cooling tower under cross-wind conditions in power plants.