Nicholas C. Forrest, R. R. Hill, Phillip R. Jenkins
{"title":"采用先进分析方法的空军飞行员训练推荐系统","authors":"Nicholas C. Forrest, R. R. Hill, Phillip R. Jenkins","doi":"10.1287/inte.2021.1099","DOIUrl":null,"url":null,"abstract":"The planning of individualized pilot training programs is an intensive process. Over 120 maneuvers are introduced into the training program over time while ensuring maneuver competencies. This work introduces a novel, deep-learning based approach for automatically generating training plans for pilot trainees to significantly reduce instructor pilot planning requirements.","PeriodicalId":430990,"journal":{"name":"INFORMS J. Appl. Anal.","volume":"57 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"An Air Force Pilot Training Recommendation System Using Advanced Analytical Methods\",\"authors\":\"Nicholas C. Forrest, R. R. Hill, Phillip R. Jenkins\",\"doi\":\"10.1287/inte.2021.1099\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The planning of individualized pilot training programs is an intensive process. Over 120 maneuvers are introduced into the training program over time while ensuring maneuver competencies. This work introduces a novel, deep-learning based approach for automatically generating training plans for pilot trainees to significantly reduce instructor pilot planning requirements.\",\"PeriodicalId\":430990,\"journal\":{\"name\":\"INFORMS J. Appl. Anal.\",\"volume\":\"57 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-11-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"INFORMS J. Appl. Anal.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1287/inte.2021.1099\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"INFORMS J. Appl. Anal.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1287/inte.2021.1099","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An Air Force Pilot Training Recommendation System Using Advanced Analytical Methods
The planning of individualized pilot training programs is an intensive process. Over 120 maneuvers are introduced into the training program over time while ensuring maneuver competencies. This work introduces a novel, deep-learning based approach for automatically generating training plans for pilot trainees to significantly reduce instructor pilot planning requirements.