海军航空大学学报2026，Vol.41Issue(3)：433-440,8.DOI:10.7682/j.issn.2097-1427.2026.03.002
Delphi-DNN:一种进近阶段飞行质量评估方法
Delphi-DNN:A Flight Quality Assessment Method for Landing Approach Phase
摘要
Abstract
Aiming at the problem of evaluating the flight quality in the landing approach phase,a method of construct-ing the index system and determining the weights based on the Delphi method and neural network regression analysis is proposed.Firstly,the evaluation objectives are clarified and six key indicators including altitude deviation,approach speed deviation,pitch angle deviation,slope,horizontal acceleration change and vertical acceleration are selected and weights are initially assigned.Then,experts in the field of aviation are invited to conduct multiple rounds of scoring through the Delphi method,and the weights of the indicators are calculated by combining the neural networks.Finally,these indicators are used as input features,and the final model is applied to the actual flight quality evaluation.The re-sults show that the method can accurately integrate expert knowledge and data-driven prediction to improve the accu-racy and reliability of the assessment.And the method provides a scientific and dynamic solution for flight quality evalu-ation.关键词
飞行质量评估/德尔菲法/神经网络/飞行数据Key words
flight quality assessment/delphi method/neural networks/flight data分类
航空航天引用本文复制引用
张文,于开民,赵俊虎,闫文君..Delphi-DNN:一种进近阶段飞行质量评估方法[J].海军航空大学学报,2026,41(3):433-440,8.基金项目
国家自然科学基金(62371465) （62371465）
山东省泰山学者专项人才工程专项(TS201511020) （TS201511020）
山东省高等学校青创团队计划(2022kj084) （2022kj084）
