摘要
针对光通信组网对网络传输实时性不足的影响,以提高光通信组网的性能为目的,提出了基于改进神经网络的光通信组网抗毁技术研究。在改进神经网络的基础上,模拟网络节点在光通信组网中传输,运用节点的变化计算出组网节点的度参数,结合平均路径长度参数和介数参数,设计了光通信组网特征参数,利用光通信组网的路由策略,设计了光通信组网抗毁算法,最后通过重构光通信组网,实现了光通信组网的抗毁。实验结果表明,基于改进神经网络的光通信组网抗毁技术在网络鲁棒性和效率方面,都具有较强的网络优势,提高的光通信组网的性能。
In the view of the influence of optical communication network on the real-time transmission of the network,this paper proposes the research on the anti-damage technology of optical communication network based on the improved neural network in order to improve the performance of optical communication network.Based on the improvement of neural network,the transmission of network nodes in optical communication network is simulated,the degree parameters of network nodes are calculated by using the changes of nodes,the characteristic parameters of optical communication network are designed by combining the average path length parameters and medium parameters,and the anti-destruction algorithm of optical communication network is designed by using the path strategy of optical communication network.The optical communication network is reconstructed to realize.The anti-destruction of optical communication network is achieved.The experimental results show that the anti-destroy technology of optical communication network based on improved neural network has strong network advantages in network robustness and efficiency,and improves the performance of optical communication network.
作者
邓斌
DENG Bin(Taiyuan Normal University,Taiyuan 030012,China)
出处
《激光杂志》
CAS
北大核心
2021年第6期139-143,共5页
Laser Journal
基金
山西省教育厅项目(No.J2018159,No.J2019163)
山西省科技厅重点研发项目(No.201803D31055)。
关键词
改进神经网络
光通信组网
抗毁性技术
网络特征
improved neural network
optical communication network
invulnerability technology
network characteristics
