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我国铁路客车空调研究领域急需引入人工神经网络 被引量:2

Artifical Neural Network Research on Domestic Air-conditioning on Passenger Cars
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摘要 分析了我国铁路客车空调存在的问题和人工神经网络 (ANN)在系统仿真、负荷预测、能量管理、故障诊断、系统辨识控制等方面的优势 ,综述了ANN在暖通空调 (HVAC)中的应用及发展状况 ,阐述了我国铁路客车空调研究领域引入ANN的必要性和紧迫性。 This paper analyzes the problems presenting in domestic air-conditioning on passenger cars and the advantage of ANN in respects of system simulation,load predictive,energy management,fault diagnosis,system identification and control,etc.,reviews the overall situation and development of ANN research applied to central HVAC systems,and discusses the necessity and urgency of introducing ANN into the research field of domestic air-conditioning on passenger cars.
出处 《铁道机车车辆》 2002年第5期8-12,共5页 Railway Locomotive & Car
关键词 铁路客车空调 人工神经网络 系统仿真 负荷预测 故障诊断 air-conditioning on passenger cars,artificial neural network,system simulation,load predictive,fault diagnosis
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