反向传播神经网络在战斗结果预测中的应用

D. Jacobs, W. Hedgepeth
{"title":"反向传播神经网络在战斗结果预测中的应用","authors":"D. Jacobs, W. Hedgepeth","doi":"10.1109/IEMC.1994.379930","DOIUrl":null,"url":null,"abstract":"The information age changes how US Army decision makers predict future trends. The Army is responding with innovative technology to help it's planners to understand the complexities of its decisions, and their impacts, as the Army embraces a post Cold War world view. Using neural network technologies is one way to attack this social technical challenge. Several neural networks were developed to predict the outcome of combat battles. The networks were trained with combat battles from a historical database.<<ETX>>","PeriodicalId":200747,"journal":{"name":"Proceedings of 1994 IEEE International Engineering Management Conference - IEMC '94","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"The application of backpropagation neural networks to predict the results of combat\",\"authors\":\"D. Jacobs, W. Hedgepeth\",\"doi\":\"10.1109/IEMC.1994.379930\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The information age changes how US Army decision makers predict future trends. The Army is responding with innovative technology to help it's planners to understand the complexities of its decisions, and their impacts, as the Army embraces a post Cold War world view. Using neural network technologies is one way to attack this social technical challenge. Several neural networks were developed to predict the outcome of combat battles. The networks were trained with combat battles from a historical database.<<ETX>>\",\"PeriodicalId\":200747,\"journal\":{\"name\":\"Proceedings of 1994 IEEE International Engineering Management Conference - IEMC '94\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1994-10-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of 1994 IEEE International Engineering Management Conference - IEMC '94\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IEMC.1994.379930\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of 1994 IEEE International Engineering Management Conference - IEMC '94","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IEMC.1994.379930","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

信息时代改变了美国陆军决策者预测未来趋势的方式。随着陆军接受冷战后的世界观,陆军正在用创新技术来应对,以帮助其规划者理解其决策的复杂性及其影响。使用神经网络技术是解决这一社会技术挑战的一种方法。开发了几种神经网络来预测战斗的结果。这些网络是用历史数据库中的战斗来训练的
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The application of backpropagation neural networks to predict the results of combat
The information age changes how US Army decision makers predict future trends. The Army is responding with innovative technology to help it's planners to understand the complexities of its decisions, and their impacts, as the Army embraces a post Cold War world view. Using neural network technologies is one way to attack this social technical challenge. Several neural networks were developed to predict the outcome of combat battles. The networks were trained with combat battles from a historical database.<>
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信