{"title":"基于神经网络和逻辑回归的小型无人机系统事故结果建模及其风险缓解","authors":"S. Wolf, R. Hill, J. Pignatiello","doi":"10.5711/1082598319327","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":54242,"journal":{"name":"Military Operations Research","volume":"19 1","pages":"27-39"},"PeriodicalIF":0.5000,"publicationDate":"2014-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Using Neural Networks and Logistic Regression to Model Small Unmanned Aerial System Accident Results for Risk Mitigation\",\"authors\":\"S. Wolf, R. Hill, J. Pignatiello\",\"doi\":\"10.5711/1082598319327\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\",\"PeriodicalId\":54242,\"journal\":{\"name\":\"Military Operations Research\",\"volume\":\"19 1\",\"pages\":\"27-39\"},\"PeriodicalIF\":0.5000,\"publicationDate\":\"2014-09-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Military Operations Research\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://doi.org/10.5711/1082598319327\",\"RegionNum\":4,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"OPERATIONS RESEARCH & MANAGEMENT SCIENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Military Operations Research","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.5711/1082598319327","RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"OPERATIONS RESEARCH & MANAGEMENT SCIENCE","Score":null,"Total":0}
期刊介绍:
Military Operations Research is a peer-reviewed journal of high academic quality. The Journal publishes articles that describe operations research (OR) methodologies and theories used in key military and national security applications. Of particular interest are papers that present: Case studies showing innovative OR applications Apply OR to major policy issues Introduce interesting new problems areas Highlight education issues Document the history of military and national security OR.