文件名称:An-algorithm--based-on-PCNN-model
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本文根据脉冲耦合神经网络(PCNN)并行运行的特点,提出了基于PCNN 模型的迷宫最短路径搜索算法。
从理论上对该算法进行了分析和讨论,并给出了具体的算法和实验结果,验证了该方法的有效性。与其他算法相比,
该方法可以在最短的时间内完成最短路径的搜索。-Based on Pulse Coupled Neural Network (PCNN) run in parallel the characteristics of PCNN model is proposed based on the shortest path maze searching algorithm. In theory the algorithm is analyzed and discussed, and given a specific algorithm and experimental results verify the effectiveness of the method. Compared with other algorithms, the method can be completed within the shortest possible time the shortest path search.
从理论上对该算法进行了分析和讨论,并给出了具体的算法和实验结果,验证了该方法的有效性。与其他算法相比,
该方法可以在最短的时间内完成最短路径的搜索。-Based on Pulse Coupled Neural Network (PCNN) run in parallel the characteristics of PCNN model is proposed based on the shortest path maze searching algorithm. In theory the algorithm is analyzed and discussed, and given a specific algorithm and experimental results verify the effectiveness of the method. Compared with other algorithms, the method can be completed within the shortest possible time the shortest path search.
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基于PCNN的迷宫最短路径求解算法.pdf
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