| 1. | On - line algorithms for the constrained bin packing problem
一类带约束的装箱问题的在线算法 |
| 2. | An on - line algorithm of fuzzy identification for nonlinear systems
非线性系统的模糊辨识在线算法 |
| 3. | Ordering on - line and semi on - line algorithm for single machine scheduling
单台机订单排序的在线与半在线算法 |
| 4. | On - line algorithm for constructing velocity matching data of master ins for transfer alignment
传递对准中主惯导速度匹配量的实时构造算法 |
| 5. | A survey for the progress of semi on - line algorithms on parallel machine scheduling problems is made
摘要对半在线平行机排序问题的研究进展作了详细综述和进一步探讨。 |
| 6. | In this thesis , two on - line algorithms for providing qos tuning at the intermediate nodes are proposed
本论文中提出两种线上演算法，目的在中间点上作调整以提供有保证的服务品质。 |
| 7. | This paper continues to survey the progress on semi on - line algorithms on parallel machine scheduling problems and studies the relation between different semi on line scheduling problems
摘要继续介绍半在线平行机排序问题的研究进展。主要介绍第二类、第三类半在线模型。研究两个（或两个以上）半在线模型间关系：复合与限制。文章最后给出了一些待研究的问题。 |
| 8. | In this paper , we study an on - line version of the two - dimensional bin packing problem that is the problem of packing a list of rectangular items into a minimum number of unit - square bins in an on - line manner . an on - line algorithm called rtdh ( refined two dimensional harmonic ) is proposed and analyzed . we show that rtdh can achieve an asymptotic worst - case ratio of less than 2 . 7687 , which beats the best - known bound 2 . 85958
目前，对该问题的研究有各种算法，主要有harmonic和round算法，本文针对harmonic和round算法存在的问题，提出一种算法rtdh ( refinedtwodimensionalharmonic ) ，做了相应的分析，并且给出了该算法的最坏性能比是2 . 7687的证明，这个结果刷新了目前最好的结果2 . 85958 。 |
| 9. | This method utilizes an on - line algorithm based upon lssvm ( least square support vector machine ) , which can build adaptive models to predict the cod values of unknown water samples quickly and accurately . in the modeling process , every training sample is also assigned a prior weight to take their significance to the final predictive model into account
该方法是一种基于最小二乘支持向量机的在线自适应加权算法，这种算法可以自适应地选取和未知水样最相近的标准样本进行建模，同时在建模中又利用加权的方法分别考虑了各个标准样本重要性。 |
