基于神经网络的坦克机动任务规划

在未来高技术局部战争务件下，坦克不得不面临一个动态复杂的战场环境，这就要求坦克能根据战场环境实时地进行任务规划。以单辆坦克在陆地上的自主机动为背景，提出了一种基于神经网络的坦克机动任务规划方法。在机动任务规划的实施方面，重点描述了两个基本方面：坦克机动环境的评估及坦克机动任务规划的自主实现。以神经网络方法为基础，提出了实现坦克自主机动的基本思路，并编制应用程序，进行实例检验。结果表明，这种方法科学合理，为坦克机动任务的规划提供了新思路。神经网络方法具有普遍意义，能推广应用于坦克其它方面的任务规划。

Mobile mission planning for tanks based on neural network

In the coming high tech partial combat, tanks will have to act in a dynamic complex environment, which will constantly require changes in the mission plans. An approach is presented to the mobile mission planning based on the neural network in the context of the overland mobile mission planning of one tank. In particular, two essential aspects of mobile mission execution are described: the assessment of the mobile mission environment, and the execution of mobile mission planning independently. The basal idea of mobile mission planning based on the neural network is advanced. An example suggests that the method is scientific and reasonable. The research provides a new idea for mobile mission planning of tanks. Apparently, the neural network can be popularized to other mission planning of tanks.