Online Time Delay Computation 在线延时计算
online data computation 在线诸元计算
symbolic computation online 在线符号计算
The presented algorithm reduces the online computation quantity and improves robustness of the systems by tuning only estimations of the unknown bounds online.
通过只对未知界限估计值的调节，该算法减少了在线计算量并且提高了系统的鲁棒性。
参考来源 - 非线性系统自适应模糊控制算法的研究·2,447,543篇论文数据，部分数据来源于NoteExpress
This algorithm reduces the burden of online computation and improves the accuracy for processing real-timely.
该算法减少了在线计算负担，有较高的精度，便于实时应用。
Traditional collaborative filtering does little or no offline computation, and its online computation scales with the number of customers and catalog items.
传统的协同过滤只做很少或不做离线计算，其在线计算量取决于顾客和登记在册商品的数量。
Unlike traditional collaborative filtering, our algorithm's online computation scales independently of the number of customers and number of items in the product catalog.
与传统协同过滤不同，我们算法的在线计算规模，与顾客数量和产品目录中的商品数量无关。
应用推荐