南京航空航天大学主页平台管理系统 Bao Jie--Home-- Short-term FFBS demand prediction with multi-source data in a hybrid deep learning framework

包杰Associate Professor

包杰，副教授，博士生导师。南京航空航天大学青年学者创新奖和“长空之星”入选者。主要研究方向为机场群协同运行优化、大型机场场面智能管控、低空运行规划与安全风险评估等。主持国家自然科学基金项目，省重点实验室开放基金，留学人员科技创新项目，青年科技创新基金等多项课题，先后参与国家重点研发计划、民航空管科技项目、波音公司、厦门航空、中南空管局等行业课题等。截至目前，共发表SCI、EI论文等40余篇，2篇...Detials

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Short-term FFBS demand prediction with multi-source data in a hybrid deep learning framework

Release time:2021-05-19 Hits:

Journal:IET Intelligent Transport Systems
Indexed by:Journal paper
Document Type:J
Volume:13
Issue:9
Page Number:1340-1347
Translation or Not:no
Included Journals:EI、SCIE
Date of Publication:2019-05-19

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