演算法

In this thesis, we have proposed the algorithms of performing of three improving types, can improve the efficiency of prospecting of the unusual fluctuation database , so the improvement type of a thesis performs algorithms and will not need to rescan the whole database each time when there are newly-increased materials, the majority only needs to scan the newly-increased trade materials, in order to improve the efficiency of prospecting.

在本论文中，我们提出了三个改良式的演算法，第一个为Apriori演算法来动态探勘，其二为使用布林演算法为基础进行动态探勘，最后为以布林运算为基础之FP-tree的动态探勘，可以提升异动资料库的探勘效率，因为在过去的资料探勘技术中，在探勘关联规则的过程}式演算法当有新增资料时将不用每次都要重新扫描整个资料库，绝大部分只需要扫描新增的交易资料，以提升探勘效率。

In this thesis, we have proposed the algorithms of performing of three improving types, can improve the efficiency of prospecting of the unusual fluctuation database , so the improvement type of a thesis performs algorithms and will not need to rescan the whole database each time when there are newly-increased materials, the majority only needs to scan the newly-increased trade materials, in order to improve the efficiency of prospecting.

在本论文中，我们提出了三个改良式的演算法，第一个为Apriori演算法来动态探勘，其二为使用布林演算法为基础进行动态探勘，最后为以布林运算为基础之FP-tree的动态探勘，可以提升异动资料库的探勘效率，因为在过去的资料探勘技术中，在探勘关联规则的过程中，若有新增或删除交易资料时，则必须重新计算一次，将造成前次探勘计算的重复及资源的浪费，所以本论文的改良式演算法当有新增资料时将不用每次都要重新扫描整个资料库，绝大部分只需要扫描新增的交易资料，以提升探勘效率。

First, our approaches are capable of processing the queries directly from the wavelet synopses retained in the main memory without using IDWT to reconstruct the data cells. Moreover, our approaches enable the users to query the DSMS within their range of interest.

由於我们设计出来的方法，避免了将频域系数转换成时域系数所需消耗的运算负担，因此，和许多现有的演算法相比，我们的演算法，能以更有效率的方式，计算出相关查询的答案。

After we placed the components of circuit, we will get some related data that are need for routing and we will find the unrouted conditions from these data beforehand. After that using our propose algorithm to solve the unrouted circuits in advance and using our approach can achieve 100% routing results and it can finish in linear time.

我们将在放置电路元件之后，取得一些绕线所需要的相关资讯，在从这些资讯中去找出在绕线时，可能会出现的不可绕的状况，然后搭配我们所提出的演算法，进一步地去预先解决不可绕的电路，使用我们的方法，可以达成100%的绕线结果，并且能在线性时间内完成绕线。

This approach not only alleviates the burden of designing PI parameters but also obtain a fast tracking algorithm.

此方法不但减轻设计滤波器参数的负担并且是一个快速追踪的演算法。

Next we give the algorithms of finding the trails, attack strategies, and the backtracking strategy.

之后我们会提出寻找路径的演算法，攻击的策略，以及 backtracking 的策略。

Hence, the purpose of this thesis is to propose a method, which selects measure points elaborately, and collocates with a nice RSS inference algorithm, and then we can build up well RSSI database with relatively lower cost.

因此，本研究的目标即在於，透过精心选择适量的实测点并收集其讯号实测值，辅以良好的讯号推估演算法，可藉精确地推估出其余各点的讯号强度值，并减少人力的浪费。

A commutation error is then considered in addition to the conventional residual error to generate the innovative residual error. Such an error is applied into cost functions to derive finite impulse response and infinite impulse response filter-based adaptive algorithms for ANC applications, referred to as FxRLS/CE and FuRLS/FRE+CE algorithms, respectively. Convergence analyses based on Lyapunov stability criteria for time-varying discrete-time systems can be carried out for the FxLMS/CE, FxRLS/CE and FuRLS/ FRE+CE algorithms to ensure stability. Computer simulations and experiments demonstrate that the innovative residual error-based adaptive algorithms can free the restriction of the slow-adaptation assumption in the conventional ANC approaches.

本文中也定义一交换误差并且加入到传统残留误差行形成新残留误差来改善适应性演算法的收敛速度，使用新残留误差推导出了有限脉冲响应滤波器与无限脉冲响应滤波器之适应演算法的新适应性演算法分别为： FxLMS/CE、 FxRLS/CE 和 FuRLS/FRE+CE 演算法，并且以离散时间的 Lyapunov 稳定性准则来证明演算法的收敛性，电脑模拟与实验也显示新演算法免除以往滤波器的参数必须缓慢更新的条件。

Using FISH data from a training set of 301 tumors, we established a discriminatory algorithm and validated it on an independent set of 169 unequivocal nevi and melanomas as well as 27 cases with ambiguous pathology, for which we had long-term follow-up data.

应用测试组301例肿瘤的FISH资料，我们设计出了个差别演算法，并将其验证于169例色素痣和黑色素瘤及27例诊断不明的病例，这些病例都有长期随访资料。

This will cause the final Pareto optimal frontier perform feature subsets with many features erasing and less improvement of classification rate. In order to improve the accuracy of classification, it is necessary to avoid the over trimming of the features. In this study, we propose a constraint based niched Pareto genetic algorithm to adjust the thread of search.

由於在实际问题中，提升分类准确率，常常会比大幅删减使用特徵数来得重要，本研究提出限制型利基柏拉图基因演算法，透过在基因演算法的挑选过程中，增加一准确率限制的手段，调整基因演算法之搜寻方向，以避免特徵的过度删减，并确保分类准确率的提升。

Singer Leona Lewis and former Led Zeppelin guitarist Jimmy Page emerged as the bus transformed into a grass-covered carnival float, and the pair combined for a rendition of "Whole Lotta Love".

歌手leona刘易斯和前率领的飞艇的吉他手吉米页出现巴士转化为基层所涵盖的嘉年华花车，和一双合并为一移交&整个lotta爱&。

This is Kate, and that's Erin.

这是凯特，那个是爱朗。