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Evaluation method of operation scheme based on recurrent neural networks

机译:基于递归神经网络的作战方案评价方法

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Operation scheme evaluation is an important step of prewar planning, a good operation scheme has great impact on the war situation. At present, computer simulation modeling is a common method to solve this problem, but it costs too much time and computing resources. Therefore, this paper provides a new method based on recurrent neural networks (RNNs) for operation scheme evaluation. This method establishes a RNN to fit the original computer simulation model, which completes operation scheme evaluation with less time and computing resources.
机译:作战方案评估是战前计划的重要步骤,一个好的作战方案对战局有重大影响。当前,计算机仿真建模是解决此问题的常用方法,但是它花费了太多时间和计算资源。因此,本文提供了一种基于递归神经网络(RNN)的作战方案评估新方法。该方法建立了适合原始计算机仿真模型的RNN,从而以较少的时间和计算资源完成了操作方案评估。

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