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| SUGENO型网络在空战CGF战术决策中的应用 | |
| 引用本文： | 李蔚恒,王庆林,李彦志,杨承志.SUGENO型网络在空战CGF战术决策中的应用[J].系统仿真学报,2007,19(6):1274-1276,1280. |
| 作者姓名： | 李蔚恒 王庆林 李彦志 杨承志 |
| 作者单位： | 1. 北京理工大学信息科学技术学院自动控制系,北京,100081;中国人民解放军空军第一航空学院,信阳,464000 2. 北京理工大学信息科学技术学院自动控制系,北京,100081 3. 空军航空大学,长春,130022 |
| 摘 要： | 提出了运用SUGENO线性模型研究空战仿真中飞机CGF的战术机动决策问题，构建了决策ANFIS网络。把各种作战态势纳入到统一框架下考虑，并运用混合学习算法完成网络的训练。用最速下降算法优化前提参数，用最小二乘法拟合结论参数。该模型训练速度快，鲁棒性好，能较客观地反映实际空战模型，较好地模拟飞行员的决策，并为蓝方CGF的智能化设计奠定了基础。 |
| 关 键 词： | 空战仿真 战术决策 自适应神经模糊推理系统 SUGENO模型 混合学习算法 |
| 文章编号： | 1004-731X（2007）06-1274-03 |
| 收稿时间： | 2006-02-08 |
| 修稿时间： | 2006-02-082006-10-29 |
Sugeno ANFIS Model Used in Tactics Decision of Fighter CGF of Air Combat Simulation |
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| LI Wei-heng,WANG Qing-lin,LI Yan-zhi,YANG Cheng-zhi.Sugeno ANFIS Model Used in Tactics Decision of Fighter CGF of Air Combat Simulation[J].Journal of System Simulation,2007,19(6):1274-1276,1280. | |
| Authors: | LI Wei-heng WANG Qing-lin LI Yan-zhi YANG Cheng-zhi |
| Affiliation: | 1 .Department of Autoeontrol of The Academy of Information Technology, Beijing Institute of Technology, Beijing 100081, China; 2.The First Aeronautic College of The Air Force of PLA, Xinyang 464000, China; 3.The Aviation University of Air Force, Changchun 130022, China |
| Abstract: | The SUGENO linear fuzzy model was proposed to the field of tactics decision in the fighter CGF of the air combat simulation system The tactics ANFIS network was put forward All of the cases of air combat were unified in a whole flame, the hybrid learning algorithm was adopted to train the network. That is, the SD algorithm is used to optimize the premise parameters and the LSE algorithm is used to train the consequent parameters. The results of simulation show that the network has properties of fast convergence and good robustness. It can objectively reflect the actual air combat model and can effectively simulate the decision of the pilot. The algorithm lays a foundation of the intelligentized design of the rival CGF model. |
| Keywords: | air combat simulation tactics decision ANFIS SUGENO fuzzy model hybrid learning algorithm |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |
