基于瞬态混沌神经网络的动态路径诱导路由技术  

Dynamic Route Guidance Network Routing Algorithm Based on Transiently Chaotic Neural Network

作　　者：田新志[1] 王文军[2] 

机构地区：[1]西安思源学院,西安710038 [2]河北工程大学水电学院,邯郸056021

出　　处：《计算机与数字工程》2008年第8期17-19,共3页Computer & Digital Engineering

摘　　要：将最短路径问题映射到混沌神经网络提出了一种基于瞬态混沌神经网络的动态路径诱导路由技术。仿真研究表明:将混沌神经网络应用于动态路径诱导系统中求解最佳路径,总能保证网络收敛到全局最优,具有很高的搜索效率。对于单个和多个分组请求均能快速地找到最短路径。The chaotic neural network was applied to the shortest path problem, dynamic route guidance network routing algorithm based on transiently chaotic neural network dynamic route guidance was presented. Result of simulations shows that the application of the TCNN algorithm to dynamic route guidance system to solve the best path problem can always converge to the globally optimal solution and has higher capability for searching than HNN. The shortest path could be found for single and multiple packets request.

关 键 词：瞬态混沌 神经网络 路径诱导算法 

分 类 号：TP393.03[自动化与计算机技术—计算机应用技术]