分辨

The conformational spaces of a protein are huge, and chances are rare that any heuristically generated structures will directly fall in the neighborhood of the native structure.

蛋白质摺叠的结构范围相当广阔，直接利用计算方法产生出类似自然结晶结构的结构有相当的难度；在理想的情况下，非自然的摺叠结构或许可以提供相当的助益，利用非自然的摺叠结构来修正计分函式或能量函式，并利用修正过后的计分函式或能量函式来分辨出自然和非自然的结构，也许是个可行的方法。

On the other hand, most cancers, whether of lung or breast or bone marrow, have no features that allow the histopathologist to discern a toxic, viral, or hereditary etiology.

另外，许多肿瘤，不管是肺、乳房还是骨髓，组织病理学家尚不能从形态特征分辨其病因是毒性、病毒性还是遗传性的。

Traditional Chinese art has characteristics and prerogatives that make it absolutely different from western art and difficult to classify using conventional, historiographic and critical parameters.

传统的中国艺术以及它本身所具有的特质是那样的迥然于西方的艺术。不可以西方人的观念去解读与分辨。

In order to enhance it,a new algorithm for computing core is proposed after analyzing the indiscernibility relation and radix sorting,and its time complexity is O|.

为了提高约简效率，在分析不可分辨关系和基数排序特点的基础上，提出了一种时间复杂度为O的求核算法。

Thus a method of designing RBF neural network, which based on a supervised rough clustering method by partition under indiscernibility relation, is proposed.

因此，本文提出一种基于不可分辨划分的有监督粗糙集聚类算法的RBF网络设计方法。

The rough set theory, based on the original definition of the indiscernibility relation, is not useful for analyzing incomplete information systems where some values of attributes are unknown.

基于不可分辨关系的粗糙集理论不适用于含未知值的不完备信息系统。

Level priority relation was used to replace indiscernibility relation,the decision rules and multi-criteria ranking problems were studied based on priority rough sets.

以级优关系代替不可分辨关系，研究了基于优势粗糙集的决策规则获取和多准则排序问题。

Pawlak based on indiscernibility only can deal with discrete attribute value, so how to discretize continuous data becomes the bottleneck of using rough set theory.

Pawlak提出的以不可分辨关系为核心的粗糙集方法处理的是离散属性值，而实际生活中的数据大多数是连续的属性值，因此需要首先对数据进行离散化处理，这已成为粗糙集理论实用性的瓶颈。

A new method which could extract region of interest was introduced. Based on partitions of indiscernibility relations and rough approximation, ROI could be extracted automatically and precisely.

为实现空瓶检测中感兴趣区域ROI的自动精确标定，介绍了一种基于粗糙集不可分辨关系划分及粗近似进行ROI区域提取的新方法。

This paper describes a new algorithm of image enhancement of impulse noise based on PCNN time matrix and rough sets indiscernibility relation. For noisy gray images, the results of computer simulations show that the image noise can be reduced efficiently and the image becomes clear and the target details of the image can be enhanced better by using this algorithm. In addition, the effects of this algorithm are better than usual image enhancement algorithm.

基于粗集理论中的不可分辨关系的等价概念及PCNN赋时矩阵，提出了一种含有脉冲噪声的图像增强算法，计算机仿真结果表明，对被噪声污染的灰度图像，用基于PCNN与粗集理论相结合的图像增强算法处理后，图像噪声得到有效抑制，画面更清晰，图像中目标的细节也得到了很好的增强，其结果优于常规方法。

The split between the two groups can hardly be papered over.

这两个团体间的分歧难以掩饰。

This approach not only encourages a greater number of responses, but minimizes the likelihood of stale groupthink.

这种做法不仅鼓励了更多的反应，而且减少跟风的可能性。