B-ISDN实时动态路由优化的神经网络方法

Neural Network Based Optimization in B ISDN Dynamic Real Time Routing

提出了一种Ｂ－ＩＳＤＮ实时动态路由优化的神经网络方法．应用人工神经网络对Ｂ－ＩＳＤＮ网络的虚通路连接（ＶＣＣ）需求进行全局实时动态路由优化，协调全网的平均阻塞率和平均路由距离，提高网络资源利用率，降低网络费用，缩短呼叫建立时间．

A neural network optimization method in B ISDN real time dynamic routing is proposed. With neural network, the VCC (Virtual Channel Connection) can be dynamically optimized with real time for B ISDN.For example, we can balance the average call blocking rate against the average route distance of the entire network, improve the utilizing factor of network resoures, cut down the cost of network, and reduce the call setup time.Our simulation results show that the proposed method is very effective.