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。
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 r）redicting result proves consistent with the experimental data.
出处
《暖通空调》
北大核心
2005年第11期10-12,66,共4页
Heating Ventilating & Air Conditioning
关键词
直接蒸发冷却空调机
神经网络
预测
训练
direct evaporative cooling air conditioner, neural network, prediction, train
