计算机科学 ›› 2019, Vol. 46 ›› Issue (11A): 28-32.
孙艺彬, 杨慧珍
SUN Yi-bin, YANG Hui-zhen
摘要: 文中提出了一种基于定向约束的脉冲耦合神经网络的路径规划方法。该方法基于脉冲耦合神经网络,不需要进行经典神经网络的前期训练,将拓扑化地图与脉冲耦合神经网络相结合,设计距离和角度约束,从而减少了脉冲耦合神经网络中激活的神经元数量,加快了路径规划速度。仿真结果表明该路径规划算法的运算时间比A*算法更短。
中图分类号:
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