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当前的光纤通信系统中含有大量通信结点,不适用于大规模的光纤通信过程,具有分析时间长、所需能耗高的弊端,提出基于能耗最低神经网络的光纤通信系统最优传递路径分析方法,通过对光纤通信系统的分析,设计以能耗最低为约束条件的目标函数,依据神经元矩阵,建立Hopfield神经网络模型,依据光纤通信系统能耗最低的目标函数,定义Hopfield神经网络的Lyapunov能量函数,获取Hopfield神经网络求解最优路径的方程,当Hopfield神经网络能量函数收敛至稳定平衡状态时,得到的神经元输出即为最优传递路径。实验结果表明,所提方法所需能耗低,且效率高。
The current optical fiber communication system contains a large number of communication nodes and is not suitable for large-scale optical fiber communication process. It has the disadvantages of long analysis time and high energy consumption, and proposes the optimal transmission path of optical fiber communication system based on the lowest energy consumption neural network Based on the neuron matrix, a Hopfield neural network model is established based on the analysis of optical fiber communication system, and the objective function with the lowest energy consumption as the constraint condition is designed. According to the objective function with the lowest energy consumption in optical fiber communication system, Hopfield neural network Lyapunov energy function, Hopfield neural network can be used to obtain the optimal path. When the energy function of Hopfield neural network converges to a stable equilibrium state, the neuron output obtained is the optimal transfer path. Experimental results show that the proposed method requires low energy consumption and high efficiency.