This algorithm accumulates distribution knowledge of the training sample while the incremental training is proceeded, and thus makes it possible to discard samples optimally.
该算法通过在增量学习中逐步积累样本的空间分布知识，使得对样本进行有选择地遗忘成为可能。
Rest on retaining the advantage of the red algorithm and introducing time relevance determination factor, this algorithm is effective to discard time-related data and reduce redundant information.
在保留主动队列管理算法RED算法优点的基础上，引入了时间相关判定因子，算法有效地丢弃时间相关的数据，减少冗余信息。
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