坦克分队CGF实体智能机动行为仿真

以坦克分队CGF实体为研究对象,详细探讨了在“以人为主,人机结合”的建模指导思想下,运用BP神经网络和A*启发式搜索算法实现CGF实体智能机动行为的建模。改进了传统的侧重于仿真过程控制而忽视发挥受训人员的主观能动性的弊端,提出了以实际军事需求为牵引,以智能仿真为依托,兼顾高层决策可控和底层机动自主的设计思路。最后结合实际应用对模型进行了可行性验证。

Simulation of Intelligent Dynamic Behavior for Tank Element CGF Entity

Based on tank element CGF entity, this article elaborates the concrete implementation algorithm of CGF entity intelligent dynamic behavior modeling in detail, which under the man-machine combinative guiding ideology, using BP neural network and A* heuristic search algorithm. Make up the malady of traditional method which pays special attention to artificial process rather than giving full play to the initiative of commandership, put forward the design scheme combined higher level decision controllability with underlying mobility autonomy. At last verify the feasibility of the model in consideration of practical application.