基于人工神经网络的蒸发器两相区制冷剂质量计算模型

Calculation Model of Refrigerant Quantity in Two-Phase Region of Evaporator Based on Artificial Neural Network

利用人工神经网络的非线性特征和自学习功能对蒸发器两相区制冷剂计算的分布参数模型进行简化,得到相应的神经网络模型。验证结果表明,神经网络模型与分布参数模型精度相当,计算速度快了一个数量级。

Obtains the corresponding neural network model by simplifying the distributed parameter calculation model of refrigerant quantity in two-phase region of evaporator using the nonlinear characteristic and self-learning ability of artificial neural network. The test indicates the neural network model has similar precise with the distributed parameter model and the computation speed of the former is one order of magnitude higher than that of the latter.