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Researchontheshapefeatureextractionandrecognition.
- 主分量分析(PCA ) 是统计学中分析数据的一种有效的方法, 可以将数据从高维数据空间变换到低维特征空间, 因而 可以用于数据的特征提取及压缩等方面。在该文的形状识别系统中, 用PCA 法提取图像的形状特征, 能够较好地满足识别 层的输入要求。在识别层研究了3 种识别方法: 最近邻法则、BP 网络及协同神经网络方法, 均取得了满意的实验效果。-Principal component analysis (PCA) is a statistical analysis of data in a
crunch2_source
- Crunch2是一个Web代理，他可以和任何浏览器兼容，他的主要功能是用基于规则的方法实现从网页上提取主题内容。规则可在界面上随意修改。-Crunch2 is a Web proxy, he can, and any browser compatible, and his main function is to use rule-based method of extraction from the thematic content of the page. Rules may be modif
GAP-RBF
- 模糊神经网络逼近与分类，模糊规则提取，快速增长与删减网络。-Fuzzy neural network approximation and classification, fuzzy rule extraction, with the deletion of the rapid growth of the network.
paper
- 关联规则论文： GP在入侵检测规则提取中的适应度函数设计.pdf 采用数据挖掘的入侵检测技术研究.pdf 分类规则挖掘算法综述.pdf -Articles of Association Rules: GP in intrusion detection rule extraction in the design of fitness function. Pdf intrusion detection using data mining technology research. Pd
SupportVectorMachines
- Rule Extraction from Linear Support Vector Machines
p1
- hallenge to the use of supervised neural networks in data mining applications is to get explicit knowledge from these models. For this purpose, a clustering genetic algorithm for rule extraction from artiÞ cial neural networks is developed. T
InfoExtraction
- 信息抽取。本文中所涉及的程序有两个，一个是在基于规则学习的信息抽取过程中对转换规则的处理，其核心算法就是加载规则文档中的信息进入内存并形成语义集合和规则集合两个链表。-Information extraction. Involved in this process there are two, one is rule-based learning in the process of information extraction processing of the conversion rules
Sequential-Rules
- 序列规则 web信息抽取 还有和析取规则的对比。-sequential rule in web information extraction and disjunctive rule
src
- 在互联网中充斥着海量的文本信息，文本中含有各种与人物、事件、物品相关的描述信息。通过信息抽取技术，根据这些描述信息抽取出其中包含的实体，并进而建立实体与实体之间的关系。本代码基于规则的方法抽取书籍-作者以及电影-原著之间的关系。-The Internet is flooded with mass text message, text contains various characters, events, items related to the descr iption. Through in
Aprior
- 频繁集提取，强关联规则挖掘的aprior算法实现-Frequent set extraction, aprior strong association rule mining algorithm to achieve
Bilateral-Filtering-aa-denoising
- 双边滤波器程序，该算法能够对图像进行降噪的同时很好的保留边缘信息，从而为后续的边缘特征点提取排除了噪声的干扰-Bilateral filter program, the algorithm can image noise reduction while well preserved edge information, so as to follow the edge of the feature point extraction rule out interference noise
GKPCA-Algorithm
- The discretization of attribute reduction of rough set and the method of rule extraction are described