{"title":"Machine learning in fuel consumption prediction of aircraft","authors":"Guanzhong Li","doi":"10.1109/COGINF.2010.5599714","DOIUrl":null,"url":null,"abstract":"Nowadays, as fuel is an important resource for the whole world, researchers are trying a variety machine learning models for fuel flow prediction in industry, aerospace specifically. Different machine learning models have been applied in different applications. This paper will analyze these applications. Many useful points have been found by comparison of those experimental results.","PeriodicalId":365083,"journal":{"name":"9th IEEE International Conference on Cognitive Informatics (ICCI'10)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"9th IEEE International Conference on Cognitive Informatics (ICCI'10)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/COGINF.2010.5599714","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10
Abstract
Nowadays, as fuel is an important resource for the whole world, researchers are trying a variety machine learning models for fuel flow prediction in industry, aerospace specifically. Different machine learning models have been applied in different applications. This paper will analyze these applications. Many useful points have been found by comparison of those experimental results.