摘要
模拟了IEEE802.4优先级扩展协议网络运转,通过设定各类帧的目标令牌循环时间值,得到网络运行平稳后各类优先级信息帧的平均发送值。然后以这些平均值作为BP网络的输入,以各类帧的目标令牌循环时间值作为BP网络的输出,训练BP网络,最后得到一个逼近函数。仿真实验表明,利用训练好的BP网络,可以得到满足网络负载的合理目标令牌循环时间值。
The operating of IEEE402.4 extended priority networks is simulated. Through setting up the value of the target Token repetition time of each type of frame, the mean value of each type of priority is given when the network runs well-balanced. Then using these mean values as the input of the BP networks and the value of the target Token repetition time of each type of frame as the output of the BP networks, and training the BP networks, an approximation function is obtained. Simulation results show that the value of the target Token repetition time can meet the requirement of network load by using this BP networks.
出处
《青岛大学学报（自然科学版）》
CAS
2005年第3期50-54,共5页
Journal of Qingdao University(Natural Science Edition)
