Next, improves one three dimensional robot path planning environment prototype system kind based on the neural network, prepares the precise sufficiency function for the mixed algorithm.
其次改进了一种基于神经网络的三维机器人路径规划环境原型系统，为混合路径规划算法的提出准备了较精确的适应度函数。
Next, improves one three dimensional robot path planning environment prototype system kind based on the neural network, prepares the precise sufficiency function for the mixed algorithm.
其次改进了一种基于神经网络的三维机器人路径规划环境原型系统，为混合路径规划算法的提出准备了较精确的适应度函数。
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