基于神经网络的舰艇兵力计算机生成系统行为建模

Nan Yao, Jiangyun Wang, Yaoxing Shang
{"title":"基于神经网络的舰艇兵力计算机生成系统行为建模","authors":"Nan Yao, Jiangyun Wang, Yaoxing Shang","doi":"10.1109/FPM.2011.6045893","DOIUrl":null,"url":null,"abstract":"This paper focuses on an intelligent decision-making model of surface warship modeling in Computer Generated Forces (CGF) System. Different kinds of AI technologies were used to found the decision-making model, enable the surface warship CGF system to select battle region, layout path, identify targets, estimate threat and control firing. The model was validated through simulating with other CGF systems. Behavior model can make the Computer Generated Forces system more intelligent and actual.","PeriodicalId":241423,"journal":{"name":"Proceedings of 2011 International Conference on Fluid Power and Mechatronics","volume":"67 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The behavior modeling of computer generated warship forces system based on neural network\",\"authors\":\"Nan Yao, Jiangyun Wang, Yaoxing Shang\",\"doi\":\"10.1109/FPM.2011.6045893\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper focuses on an intelligent decision-making model of surface warship modeling in Computer Generated Forces (CGF) System. Different kinds of AI technologies were used to found the decision-making model, enable the surface warship CGF system to select battle region, layout path, identify targets, estimate threat and control firing. The model was validated through simulating with other CGF systems. Behavior model can make the Computer Generated Forces system more intelligent and actual.\",\"PeriodicalId\":241423,\"journal\":{\"name\":\"Proceedings of 2011 International Conference on Fluid Power and Mechatronics\",\"volume\":\"67 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-10-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of 2011 International Conference on Fluid Power and Mechatronics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/FPM.2011.6045893\",\"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 2011 International Conference on Fluid Power and Mechatronics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FPM.2011.6045893","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

研究了基于计算机生成兵力系统的水面舰艇建模智能决策模型。采用不同的人工智能技术建立决策模型,使水面舰艇CGF系统能够选择作战区域、布局路径、识别目标、估计威胁和控制射击。通过与其它CGF系统的仿真验证了该模型的有效性。行为模型可以使计算机生成力系统更加智能化和实用化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The behavior modeling of computer generated warship forces system based on neural network
This paper focuses on an intelligent decision-making model of surface warship modeling in Computer Generated Forces (CGF) System. Different kinds of AI technologies were used to found the decision-making model, enable the surface warship CGF system to select battle region, layout path, identify targets, estimate threat and control firing. The model was validated through simulating with other CGF systems. Behavior model can make the Computer Generated Forces system more intelligent and actual.
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:604180095
Book学术官方微信