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Technology Using Neural Network Optimization Path in Packet Switching Network

机译:基于包交换网络中神经网络优化路径的技术

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How to find the optimal path between two nodes has been one of the most difficult problems in the internet. In this paper, a method of finding the optimal path based on neural network technology is proposed, which solves the problem of finding the optimal path by adjusting the weight of the neuron. The results show that the algorithm proposed in this paper is simple in calculation and fast in convergence speed, and it is suitable for the research on the optimal path of packet switching. Although the shortest path algorithm has been established, the researchers are still studying other better path selection methods.
机译:如何找到两个节点之间的最佳路径是互联网中最困难的问题之一。 在本文中,提出了一种基于神经网络技术寻找最佳路径的方法,其解决了通过调节神经元的重量来找到最佳路径的问题。 结果表明,本文提出的算法在计算速度和收敛速度快速时简单,并且适用于对数据包交换的最佳路径的研究。 虽然已经建立了最短路径算法,但研究人员仍在研究其他更好的路径选择方法。

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