用人工神经网络方法预测分析直接蒸发冷却空调机的性能参数
Performance prediction of a direct evaporative cooling air conditioner using neural network method
摘要：
针对填料表面不规则造成的数学模型无法求解的情况，利用人工神经网络优良的非线性映射能力和GLASdek填料直接蒸发冷却空调机实验测试数据，建立了三层前馈式神经网络来预测直接蒸发冷却空调机在不同工况下处理空气的能力，预测结果与实测结果吻合较好。
关键词：直接蒸发冷却空调机,神经网络,预测,训练
Abstract：
The mathematical model of direct evaporative cooling air conditioner is difficult to solve for the irregularity of pad surface. Recurring to the good nonlinear mapped performance of neural network and the experimental data of a direct evaporative cooling air conditioner with GLASdek pad, establishes a three layer back propagation neural network to predict the air handling performance of the conditioner under various working conditions. The predicting result proves consistent with the experimental data.
Keywords:directevaporativecoolingairconditioner,neuralnetwork,prediction,train