reduction algorithm

There are many methods used for reduction of test cases, including many heuristic algorithms: such as greedy algorithms, HGS algorithm, GRE algorithm, GE algorithm, experiments prove that these methods can reduce the test cases effectively.

目前已有很多方法来约简测试用例集，其中包括很多启发式算法：如贪心算法、HGS算法、GRE算法、GE算法等，实验证明这些方法都可以有效的约简测试用例集的规模。

A new noise reduction algorithm for chaotic data based on sliding window subspace projection

基于滑动窗口子空间的混沌信号降噪算法

A fault tree ( logical) reduction strategy based on greedy algorithm is presented.

根据故障树结构特点，提出了基于贪心算法的故障树逻辑简化方法。

This algorithm adopted the relative Bhattacharyya distance summation of each feature as the criterion function to select the features which contributed more to the reduction of classification error. These features then could be used for Gaussian maximum likelihood classification.

该算法以各特征的相对Bhattacharyya和作为准则函数选择能有效降低分类错误率的一组特征，最后利用这组特征进行高斯似然分类。

A novel attribute reduction algorithm of rough set based on the vertebrate immune mechanism is proposed.

基于生物免疫原理,提出了一种新型粗糙集属性约简算法.

Depth analysis of the threshold noise reduction algorithm of the threshold value functions and threshold threshold signal denoising, reference-based spectral subtraction speech enhancement algorithms based noise extraction of the door threshold to determine the algorithm.

深入分析了阈值降噪算法中阈值函数和门限阈值对信号去噪效果的影响，参考基于谱减法的语音增强算法，研究了一种基于噪声提取的门限阈值确定算法。

Knowledge Reduction Algorithm Based Binary Discernibility Matrix ( to be Continued )

基于二进制可辨矩阵的知识约简 ( 待续 )

This paper mainly deal with a new speckle reduction algorithm in high resolution SAR images based on wavelet transform.

文章主要提出了一种新的基于小波变换对高分辨率合成孔径雷达（SAR）图像相干斑噪声抑制的算法。

Therefore, on the basis of attribute reduction of static database, the definition of relative difference comparison table has been given, and a new algorithm for minimum attribute reduction with conditional attribute has been brought forward.

因此，本文就是在静态数据库的属性约简的基础上，引入过渡相对差异比较表，并在此基础上提出了一种新的增加条件属性的最小属性约简的算法。

Especially back propagation algorithm based on self adapting learning rate with momentum gradient reduction can avoid efficiently the slow convergence and the problem of 'local infinitesimal value' of BP network.

其中自适应学习速率动量梯度下降反向传播算法，可以有效避免BP网络收敛速度慢和存在所谓局部最小值问题。

Frequent item sets based dimensionality reduction algorithm in data mining research

基于频繁项集的降维在数据挖掘中的应用

An attribute reduction algorithm is proposed in this paper, and applied in medical image area.

提出一种基于模糊粗糙集理论的属性约简算法, 并且应用于医学影像领域.

In order to reduce the visible blocking artifacts at the block boundary with Block Discrete Cosine Transform ( BDCT) at low bit rates, a new blocking-artifact reduction algorithm in DCT domain is presented in this paper.

为了减少低比特率时块离散余弦变换（BDCT）在块边界所出现的明显可见的方块效应，提出了一种新的DCT域的去块效应消除算法。

Compared to the complexity of reduction algorithm in complete information table, it is worth researching the attribute reduction in incomplete information table.

对于不完备决策表的属性约简，相比较于完备决策表的约简算法在算法复杂度还是一个值得研究的问题。

These algorithms include Degree-1 reduction algorithm, Series reduction algorithm, new file spanning tree algorithm, file transmission path algorithm and response time of file transmission path algorithm.

在此基础上，推导出Degree-1精简算法、Series精简算法、新的文件生成树生成算法、文件传输路径生成算法以及响应时间评估算法。

According to the spatial resolution of MODIS data, in this paper, the contrast reduction algorithm is used to inverse AOT in urban areas with MODIS data.

根据MODIS数据的空间分辩率特点，文中使用结构函数法反演MODIS数据城市地区的气溶胶光学厚度。

In this paper, the decomposition level of the threshold noise reduction algorithm in-depth study, an adaptive optimal decomposition level determination algorithm.

本文对阈值降噪算法中的分解层数进行深入研究，实现了一种自适应最优分解层数确定算法。

The optimal reduction set can be selected from all reduction set with algorithm quotient granularity.

依据粒度粗细的理论,提出了一种新的属性约简算法.

The limitation of real computer systems is considered, so strategies with some difference are adopted for decision tables of different sizes and the time complexity of the attribute reduction algorithm is also different.

本文所给的这个算法考虑了具体实现的限制，因而对不同大小的决策表采取有所不同的策略，算法的时间复杂度是不同的。

The paper offer a new heuristic attribute reduction algorithm based on conditional granularity entropy , thou.

提出了一种基于条件粒度熵的属性约简的启发式算法,通过例子分析,表明该算法是有效的.

Fast Reduction Algorithm for Rough Set in Inconsistency Information System

不一致信息系统的粗糙集快速约简算法

So a reduction algorithm of attribute for personalized knowledge discovery was designed.

为此,设计了一种面向个性化知识发现的属性约简算法.

The traditional rough set research object is the complete information system, it can effectively use reduction algorithm analysis decision table, withdraws latent pattern which in the policy-making table between the attribute exists.

传统的粗集研究对象是完全信息系统，它能够有效利用约简算法分析决策表，提取决策表中属性之间存在的潜在模式。

It needs some effective noise reduction algorithm to optimize the image contaminated by noise.

为了得到优秀的图像质量,需要有效的噪声滤波算法.

The significance degree and the approximative reduction of attributes are defined, and the corresponding reduction algorithm is proposed.

定义了模糊决策信息系统属性的重要度及近似约简，给出了约简算法。

Using the statistic characterization of data, the relevant knowledge reduction algorithm is put forward by combining the probability with classification rules;

利用数据的统计特征，将概率测度与分类规则结合起来，提出了相应的知识西北工业大学博士学位论文约减算法；