| 基于神经网络的软测量在隔离型换热节能系统中的应用 |
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| 引用本文： | 王瑞华,王普.基于神经网络的软测量在隔离型换热节能系统中的应用[J].现代电子技术,2012,35(5):150-152,159. |
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| 作者姓名： | 王瑞华 王普 |
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| 作者单位： | 北京工业大学,北京,100124 |
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| 基金项目： | 国家自然科学基金资助项目(60974133) |
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| 摘 要： | 隔离型换热节能系统的模型研究对系统优化有着现实意义。在对系统结构介绍的基础上,建立了系统的稳态机理模型。针对系统模型中的关键参数难以测量的问题,提出采用基于RBF神经网络的软测量方法加以解决,并利用现场数据进行了实验研究。结果表明,所提方法是可行、有效的。
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| 关 键 词： | 换热节能 机理模型 软测量 RBF神经网络 |
Application of soft measurement based on neural network in isolated heat exchange energy-saving system |
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| WANG Rui-hua
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WANG Pu.Application of soft measurement based on neural network in isolated heat exchange energy-saving system[J].Modern Electronic Technique,2012,35(5):150-152,159. |
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| Authors: | WANG Rui-hua WANG Pu |
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| Affiliation: | (Beijing University of Technology,Beijing 100124,China) |
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| Abstract: | The research on the model of heat pipe heat exchange system has practical significance to system optimization.Based on introducing the system structure,the steady state mechanism model is built.Aiming at the problem that key para-meter is difficult to be measured in system model,the soft measurement method based on RBF neural network is proposed.Then,using practical data in field,testing research is carried out.The conclusion shows that the method is feasible and valid. |
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| Keywords: | heat exchange energy-saving mechanism model soft measurement RBF neural network |
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