基于BP神经网络的客车空调冷负荷应用研究

Huifan Zheng, C. Zhu
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引用次数: 2

摘要

介绍了基于BP神经网络的空调负荷的发展和应用研究。结合BP神经网络的一些理论和客车空调的特点,开发了用于客车空调冷负荷计算的BP神经网络。结果表明,与稳态计算方法相比,冷负荷降低了22.8%。BP神经网络是一种有效的冷负荷计算方法,可以为客车空调整体优化设计提供一定的理论依据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application Research of Cooling Load of Bus Air Conditioning Based on BP Neutral Network
Introduces the development and application research of load about air- conditioning based on BP neutral network. Connects some theory about BP neutral network and characters about bus air conditioning, and develops BP neutral networks for cooling load calculation of bus air conditioning. The results show the cooling load decrease 22.8 percent compare with steady calculation method. The BP neutral network is an effective cooling load calculation method, and the research can provide some theoretical evidence for optimizing holistic design about bus air conditioning.
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