| 一种基于SVR的飞机巡航段油耗预测方法 |
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| 引用本文： | 陈静杰,赵冬林.一种基于SVR的飞机巡航段油耗预测方法[J].航空电子技术,2014(1):46-51. |
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| 作者姓名： | 陈静杰 赵冬林 |
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| 作者单位： | 中国民航大学航空自动化学院; |
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| 基金项目： | 国家科技支撑计划项目支持(2012BAC20B03);民航局科技项目支持(MHRD201008,MHRD201121) |
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| 摘 要： | 针对飞机巡航段燃油消耗量预测问题,提出一种基于支持向量回归机(SVR:Support Vector Regression)的预测建模方法,并应用Grid-Search参数寻优法优化模型参数,基于真实QAR数据建立SVR预测模型,并从平方相关系数和平均绝对百分误差两个不同指标与BP神经网络模型的预测结果进行比较,比较结果表明:SVR预测模型的预测结果精度高。
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| 关 键 词： | 支持向量回归机（SVR） QAR数据 燃油消耗模型 |
A SVR-based Prediction Method for Fuel Consumption in Aircraft Cruise Phase |
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| CHEN Jing-jie,ZHAO Dong-lin.A SVR-based Prediction Method for Fuel Consumption in Aircraft Cruise Phase[J].Avionics Technology,2014(1):46-51. |
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| Authors: | CHEN Jing-jie ZHAO Dong-lin |
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| Institution: | ( College of Aeronautical Automation Civil Aviation University of China, Tianjin 300300, China) |
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| Abstract: | A support vector regression （SVR） predicting method was proposed for predicting the fuel consumption in cruise phase. In this proposed method, the SVR parameters were optimized with Grid-Search algorithm. This paper established a SVR model based on QAR data. A comparison was made with the BPNN model from the two different indicators of squared correlation coefficient and mean absolute percent error, the results show that the accuracy of SVR model is better than that of BPNN model. |
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| Keywords: | Support Vector Regression （ SVR ） QAR data Fuel Consumption Model |
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