Artificial Neural Network Model for predicting thermal comfort index PMV about local environment created by Task Air-Conditioning system was developed in this article.The 7938 groups of studying and testing data samples were chosen from the parameters recommended by ISO 7730,considering the parameter intervals of local environment in the workstations,as well as the standard thermal comfort regions of ASHRAE.Outputs of the model were the PMV values calculated by computer program.The results of training and testing indicated that the ANN model could predicate PMV quickly and accurately.%建立了预测工位空调微环境热舒适指标PMV的人工神经网络模型。模型的7938组输入向量数据选自ISO7730中推荐的PMV及其参数范围,并考虑工作位形成的微环境的参数区间,以及ASHRAE标准舒适区域。编制程序计算出输入向量对应的PMV值作为模型的输出量。对网络进行训练和测试的结果表明,用人工神经网络建立的模型能够迅速准确地预测工位空调微环境的热舒适指标PMV。
展开▼
