摘要
准确地评估通信网中节点的重要性,对于通信网的设计、维护管理以及提高整个通信网的可靠性都有重要作用。现有的一些评估方法通常只是考虑单一的影响因素,其评估结果不准确。提出一种基于自组织神经网络的通信网节点重要性评估模型,将通信网中节点的度、节点的网络凝聚度、节点对通信网生成树的影响程度和节点对通信网可靠性的影响程度作为节点重要性的评价指标,对通信网中的节点进行重要性等级的划分。实验结果表明该模型能够全面地评估节点的重要性。
Exact evaluation of the node importance in communication network plays a critical role in network design, maintenance and management, and reliability enhancement. Some of the evaluation methods consider only single factor, so the results would not be objective and comprehensive. SOM neural network is applied to establishing important evaluation model of communication network node. Some criteria are selected to evaluate importance of node, such as node degree, node network cohesion, node affection degree on communication network generating tree and communication network reliability. Experimental result shows the proposed model could comprehensively evaluate the node importance of communication networks.
出处
《通信技术》
2010年第8期205-207,共3页
Communications Technology
关键词
通信网
重要性
人工神经网络
评估模型
communication network
importance
artificial neural network
evaluation model
