摘要
介绍了人工神经网络的基本原理并将其应用于计算人体热感觉的 PMV指标 .根据有关数据显示神经网络的计算值与实际值相吻合 ,说明神经网络是一种新颖、可靠的人体热感觉预测方法 。
The basic theory of artificial neural network (ANN) is described in this paper. The ANN was used to calculate the predicted mean vote (PMV) index for thermal comfort of human response. According to some relative data, the calculated ones work in harmony with the actual ones, which indicates that ANN is a novel and reliable HVAC nonlinear computation method. The ANN architecture is potentially attractive for nonlinear real-time control in HVAC systems.
出处
《西安建筑科技大学学报（自然科学版）》
CSCD
2002年第1期80-83,共4页
Journal of Xi'an University of Architecture & Technology(Natural Science Edition)
