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舰艇CGF系统智能推理决策研究
引用本文:张立友,唐晓明,郭齐胜.舰艇CGF系统智能推理决策研究[J].计算机仿真,2006,23(6):37-40.
作者姓名:张立友  唐晓明  郭齐胜
作者单位:北京装甲兵工程学院,北京,100072
摘    要:CGF实体智能化的研究是CGF领域的一个研究重点和难点。而CGF推理决策模型设计是CGF建模的关键环节,为了使舰艇CGF实体在仿真环境中具有智能,采用了人工智能技术。该文在设计舰艇CGF系统推理决策模型过程中,使用了模糊理论来实现敌方实体威胁程度的决策,使用了人工神经网络来实现武器开火的决策。这些人工智能技术在舰艇兵力模型设计中的应用表明,它们能够有效地提高仿真实体的智能水平。

关 键 词:计算机生成兵力  人工智能  模糊理论  人工神经网络
文章编号:1006-9348(2006)06-0037-04
收稿时间:2005-05-30
修稿时间:2005年5月30日

Intelligent Decision-making Modeling in Computer Generated Forces System of Naval Ships
ZHANG Li-you,TANG Xiao-ming,GUO Qi-sheng.Intelligent Decision-making Modeling in Computer Generated Forces System of Naval Ships[J].Computer Simulation,2006,23(6):37-40.
Authors:ZHANG Li-you  TANG Xiao-ming  GUO Qi-sheng
Affiliation:Armored Force Engineering Institute, Beijing 100072 ,China
Abstract:In the CGF research field,the emphasis and difficulty are to research CGF entity intelligent,while the modeling design of intelligent decision-making is more important in the CGF system.To make the CGF entities of naval ships in the simulation environment possess intelligence,artificial intelligence techniques were widely used.In the process of implementing the decision-making in CGF system,fuzzy theory was utilized to model the decision-making of the enemy entities' threat,and artificial neural network was used to model the decision-making of firing.The application of these methods in designing the navy force of computer generated forces system shows that they are effective to promote the simulation entities' intelligence.
Keywords:Computer generated forces(CGF)  Artificial intelligence  Fuzzy theory  Artificial neural network  
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