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The optimal routing algorithm of communication networks based on Neural network

机译:基于神经网络的通信网络最优路由算法

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In order to present the routing algorithms for currently communication networks, the constrained optimization problem was solved depending on the ability of the neural networks. The neural networks was used in optimum routing problem on in case of packet switched computer networks, and the main objects are decrease the mean delays in the communication networks. The correctness of neural network is verified by the conclusions of calculation of a neural design to solve the shortest path problem. Simulation model of neural network shown that the model can enable algorithm obtaining the minimum error.
机译:为了提出当前通信网络的路由算法,根据神经网络的能力解决了约束优化问题。在分组交换计算机网络的情况下,将神经网络用于最佳路由问题,其主要目的是减少通信网络中的平均延迟。通过解决最短路径问题的神经设计计算结论,验证了神经网络的正确性。神经网络的仿真模型表明,该模型可以使算法获得最小的误差。

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