| 利用神经网络预测PMV指标 |
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| 引用本文： | 高立新,白桦.利用神经网络预测PMV指标[J].哈尔滨建筑大学学报,2002,35(5):70-72. |
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| 作者姓名： | 高立新 白桦 |
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| 作者单位： | 哈尔滨工业大学市政环境工程学院,黑龙江,哈尔滨,150090 |
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| 摘 要： | 由于PMV指标与人体热舒适感的影响因素间存在着复杂的非线性关系，采用传统的方法确定PMV值既不便于硬件实现，也不能适应空调实时控制的需要，为了解决这一问题，利用人工神经网络方法，建立了PMV指标的神经网络预测模型，实现了PMV指标的智能化预测，从而解决了实现基于PMV指标的空调实时控制的关键问题。
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| 关 键 词： | 热舒适 PMV指标 人工神经网络 空调 实时控制 预测 |
| 文章编号： | 1006-6780(2002)05-0070-03 |
| 修稿时间： | 2001年12月7日 |
Prediction of PMV index using neural network |
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| GAO Li-xin,BAI Hua.Prediction of PMV index using neural network[J].Journal of Harbin University of Civil Engineering and Architecture,2002,35(5):70-72. |
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| Authors: | GAO Li-xin BAI Hua |
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| Abstract: | This paper applies artificial neural networks theory to the study of indoor thermal comfort,a model for the prediction of PMV(Predicted Mean Vote)index is proposed by the use of back-propagation neural network.As PMV index is a highly nonlinear function of human being's thermal comfort influencing factors,so the calculation of PMV index involves complex iterations,using the approach presented in this paper can facilitate this process.Testing result shows that this model can give good results.The model presented in this paper is well suited for direct implementation using neural network chips,so it is potentially attractive for real-time air-conditioning control applications. |
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| Keywords: | thermal comfort PMV index artificial neural network air-conditioning real-time control prediction |
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