摘要
通过比较通信网络和流体神经网络,得出了通信网络路径选择的最大概率准则,给出了基于流体神经网络的路径选择算法.实验结果表明,该算法的运算速度远远快于现有的路径选择算法.
From the heuristic viewpoint, the maximum probability criterion for the choice of the routing of a communication network is proposed by comparing the communication network with the fluid neural network. The routing algorithm based on the fluid neural network is developed. Experimental results indicate that the proposed algorithm is much faster than any existing routing algorithms.
出处
《西安电子科技大学学报》
EI
CAS
CSCD
北大核心
2004年第2期177-181,共5页
Journal of Xidian University
基金
西安电子科技大学博士生启动经费资助项目(18211 8)
关键词
流体神经网络
路径选择算法
通信网络
最大概率准则
communication network
fluid neural network
maximum probability criterion
routing algorithm