分类的

To be more economic, this paper presents a new hierarchical automatic classification on Chinese texts, with some improvements on term weighting and reduction of dimensionality as wel

因此本论文在对自动分类技术进行深入研究的基础上，结合实验室原有的单层次的分类成果，实现了一个多层次的中文文本自动分类系统，并在特征加权和维数缩减方面等方面做了一定改进。

Shape and color characteristics were used to form the separated pattern vector and RBF network was used as classifier for each pattern. Each classifier was linearly combined to give the final identification result. Shape pattern consists of rectangularity, elongation, roundness, sphericity, lobation and seven movement invariants. R, G, B, L histogram and R.G chromaticity histogram were treated as separated color characteristic vector.

昆虫图像的形态特征值由矩形度、延长度、球状型、叶状型、似圆度和 7个Hu不变矩等12个特征值组成，颜色特征值由红、绿、蓝、灰度真方图及基于红、绿的二维色度直方图特征值分别组成，然后建立径向基神经网络分类器，每一特征向量由独立的径向基神经网络做为分类器，最终识别由每个分类器识别结果的线性组合而成。

The authors present a targets detection method based on the hierarchical clustering which constructs the similarity measuring function according the movement rule of stars and targets,finds the optimal separating hyperplane and classified amount by means of finding the inflexion of error square sum function,then distinguish the targets from stars and noises by two level hierarchical clustering.

提出了基于层次聚类的空间弱小目标检测算法，以星点到参考恒星之间的距离变化为依据，根据恒星和目标的运动特性构造相似性度量函数，通过寻找误差平方和曲线拐点的方法寻找最优分类曲面和分类个数，最后以两层复合分类将恒星、噪声和目标分离。

Considering the shortcoming of overlong network training time of BP neural network in multidimensional data classification,a new multiple neural network classification model is presented.

0引言高维数据的分类是一个重要而且具有挑战性的问题，基于BP神经网络的分类方法是一种有效的方法，具有较强的分类能力和鲁棒性。

Regarding to the multi-granularity of and analysis demand of stock index futures transaction data, this article proposed a classification method based on support vector machines. Tangent plane solution of support vector machines is established by introducing geometrical solution. Therefore, investors can be classified based on straightforward transaction data.

针对股指期货成交数据的多粒度性以及成交数据分析的需求，本文提出在解决噪声、多粒度数据分类问题方面有突出优越性的支持向量机分类方法，引入几何求解方式，提出了支持向量机的切平面解法，根据成交数据直观地对投资者进行分类。

The parameters of X-ray sensitometry ,such as sensitivity,gradation,gamma,fog,and resolving power,granularity,silver contents of emulsion layers of films and total thickness of coating layers of films produced in Russia and by foreign companies and the quality classification of these films by using recommended Russian standard of quality classifi.

介绍了无损伤检测用射线技术胶片的质量分类国际标准和俄国标准的要点，做了俄国国产和国外射线技术胶片的 X射线感光测定和解相力、颗粒度、含银量以及乳剂层厚度的检测，将这些胶片按推荐用于俄国的分类标准做了分类。

Conventional remote sensing image classification methods are mostly based on Bayes' subjective probability theory.

传统的图像分类方法多数是基于贝叶斯主观概率理论的图像分类方法，由于其在解决不确定性问题上存在诸多缺陷，近年来，将数学的证据理论应用于遥感图像分类已成为新的发展趋势。

Conventional remote sensing image classification methods are mostly based on Bayes' subjective probability theory.Because there are many defects,a new tendency is that the mathermatical theory of evidence has been applied to remote sensing image classification.

传统的图像分类方法多数是基于贝叶斯主观概率理论的图像分类方法，由于其在解决不确定性问题上存在诸多缺陷，近年来，将数学的证据理论应用于遥感图像分类已成为新的发展趋势。

With consideration of uncertainties in load forecasting, the triangular fuzzy number was used to express the actual load demand of users at a certain time in the future, and a set of optimal time-of-use price design models based on fuzzy demand and users' diverse response were established.

考虑负荷预测的不确定性，运用模糊三角数表示用户未来时刻的实际需求。结合分类用户不同程度的需求价格响应，构建了一套基于模糊需求和用户分类响应程度下的最优分类峰谷分时电价设计模型。

The breakthrough and the shortcoming of the classified search engine as well as the characteristics and the unacceptability of the network search tools based on traditional classification are discussed.

三。在网络信息资源分类组织的应用技术方面提出了一些新见解，即改进基于分类法的网络检索工具的技术要求、运用现代分类技术促进网络检索工具进一步完善、超文本技术在网络信息资源分类组织中的合理应用以及密切关注其它信息组织技术的研究进展。

It has been put forward that there exists single Ball point and double Ball points on the symmetrical connecting-rod curves of equilateral mechanisms.

从鲍尔点的形成原理出发，分析对称连杆曲线上鲍尔点的产生条件，提出等边机构的对称连杆曲线上有单鲍尔点和双鲍尔点。

The factory affiliated to the Group primarily manufactures multiple-purpose pincers, baking kits, knives, scissors, kitchenware, gardening tools and beauty care kits as well as other hardware tools, the annual production value of which reaches US$ 30 million dollars.

集团所属工厂主要生产多用钳、烤具、刀具、剪刀、厨具、花园工具、美容套等五金产品，年生产总值3000万美元，产品价廉物美、选料上乘、质量保证，深受国内外客户的青睐