Therefore, the AQM algorithm is of great significance to the study.
因此，对AQM算法的研究具有重要意义。
This paper proposed a novel AQM algorithm based on neural network control.
提出了一个基于神经网络控制的主动队列管理（AQM）算法；
PI is the AQM algorithm cased on control theory and has smaller queue length oscillation than RED.
PI算法是基于控制论的主动队列管理算法，具有队列长度抖动小的特点。
Based on the cybernetics and REM algorithm, an improved AQM algorithm and a congestion control strategy are proposed.
根据控制论中将链路价格化的方法，对REM算法的进行了改进，提出了新的拥塞控制机制。
Furthermore, by applying the present method into the network congestion control, this paper constructed a new Active Queue Management (AQM) algorithm, IMC-PID algorithm.
将IMC - PID应用于网络拥塞控制中，得到了一种新的主动队列管理(aqm)算法——IMC - PID算法。
Furthermore, by applying the present method into the network congestion control, this paper constructed a new Active Queue Management (AQM) algorithm, IMC-PID algorithm.
将IMC - PID应用于网络拥塞控制中，得到了一种新的主动队列管理(aqm)算法——IMC - PID算法。
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