A binary neural network (BNN) applies to problems in Boolean space, Extraction of rules is a important research area of it.
二进神经网络是应用于布尔空间的神经网络，知识提取是它的一个重要研究领域。
In order to extract simple and effective diagnostic rales from inconsistent diagnostic information, an extraction method of decision rules for fault diagnosis based on rough set theory is proposed.
为了在故障诊断信息不一致的情况下提取简单有效的诊断规则，提出了一种基于粗糙集理论的决策规则提取方法。
After analyzing the three metrics of rules: support, confidence, coverage, this paper quantifies them and proposes an algorithm for rules extraction.
分析规则的三个度量标准：支持度、置信度、覆盖度，对其进行量化，并提出一规则提取算法。
Results showed that the equation optimization was succeeded and the extraction of EGCG complied to diffusion kinetic rules.
结果表明该方程拟合是成功的，EGCG提取符合传质扩散动力学规律。
There are two parts in the system, the definition of the Extraction rules and the execution of the Extraction rules.
系统主要分为两个部分，抽取规则的定义阶段以及抽取规则的执行阶段。
At last, this paper studied the optimization of extraction rules and compared several information location methods. The aim is to generate simple, robust and general extraction rules.
最后，本文还对提取规则的优化问题进行了研究，对几种信息定位方式进行了比较，目的是此基础上编写更为简单、健壮和通用的提取规则。
Finally, a heuristic algorithm for rules extraction of decision tree was designed.
以新的属性重要性为启发式信息设计决策树规则提取方法。
The process of knowledge discovery in time series includes preprocessing of time series data, attributes reduction and rules extraction.
知识发现的过程包括时间序列数据预处理、属性约简和规则抽取三部分。
In addition, some redundant rules exist in the optimized population, considering the conciseness of the final rule set, so this paper presents a rule extraction method.
另外，在优化后的种群中存在一些冗余规则，考虑到规则集的简洁性，提出了一种规则提取方法。
Based on manual definition of templates and rules, it aims at precise sentence extraction rather than wide recall.
基于模板和规则的人工定义，它旨在准确的句子提取，而非广泛地检索。
The method of rules extraction and calculating process with serial carry chain based on the arbitrary division are presented.
提出了基于任意分割的规则获取方法和相应的串行进位链计算流程。
This paper focuses on the extraction and application of region-dependent rules for land-use data generalization.
本文主要探讨随地理区域不同而变化的区域依赖性数据综合规则的提取和应用。
The paper gives the method based on probabilistic techniques and rules for new word discovery via analyzing the current techniques of phrase extraction and combining the specialties of Chinese.
该文分析了已有短语抽取技术，并结合汉语特点，提出了基于概率统计技术和规则方法相结合的概念抽取方法。
Using rough set of the final value reduction algorithm for text classification rules extraction, thus gained the final text classification rules.
然后采用粗糙集的值约简算法来进行文本分类规则的抽取，从而得到最终的文本分类规则。
The second method is pattern matching algorithm based on the patterns of dictionary definition, we form some extraction rules by hands, the system then automatic extract synonyms by pattern matching.
第二部分是利用词汇定义模式，对词汇的释义方式进行分析，归纳总结出在词典释义中同义词出现的模式，进而利用模式匹配方法获取同义词。
Only when a new instance cannot be extracted does it need labeling. So it does not require an initial set of labeled pages to learn extraction rules.
只有当一个新的待抽取实例中的数据不能够被正确抽取时，系统再对其进行标注，因此算法无需初始的训练集合。
The effect of rules and the accuracy distribution of word extraction of RMMFS and BMMFS in different text size and word frequency are studied. Experiments show that BMMFS can get better result.
实验研究了抽词准确率受规则的影响及随文本大小和词频变化的分布，结果表明BMMFS可以取得更好的抽词效果。
The main idea to rules-based model use text documents of the characteristics, structure and so on, to find some rules for extraction.
基于规则的主要思路是通过分类文本的特征、结构等信息，寻找到一些用于抽取的规则。
In this paper, a method of text categorization based on rough set theory is presented. RST is applied to rules' extraction of the text categorization.
本文将粗糙集理论应用于文本自动分类的规则提取，提出了基于粗糙集理论的文本分类方法。
With standard XSLT, we can exploit strong and flexible features of the language to construct simple, robust and general extraction rules.
基于标准的XSLT，可以利用它强大而且灵活的特性编写简单、健壮和通用的抽取规则。
The third chapter describes the problems in text processing of Chinese medicine and corresponding solutions, it includes text pre-processing and relationship extraction based on association rules.
第三章介绍了在中医药文本处理面临的主要问题以及相应的解决方法，包括文本预处理和基于关联规则的关系抽取两个部分。
There are two main routes in the study area of information extraction: rules-based model and statistics-based model.
在信息抽取的研究领域，有两条主要的技术路线：基于规则的路线与基于统计模型的路线。
Through the domain ontology which is automatically generated by the extraction path, get the extraction rules of the information items.
通过信息项的抽取路径自动生成信息项的领域本体，通过信息项的领域本体解析出信息项的抽取规则。
To use of rough set theory for data mining and the extraction rules of the knowledge, the most important point is that based on the attribute reduction and rule extraction algorithms of rough set.
利用粗糙集理论进行数据挖掘，抽取知识规则，最重要的一点就是基于粗糙集的属性约简和规则提取算法的研究。
To use of rough set theory for data mining and the extraction rules of the knowledge, the most important point is that based on the attribute reduction and rule extraction algorithms of rough set.
利用粗糙集理论进行数据挖掘，抽取知识规则，最重要的一点就是基于粗糙集的属性约简和规则提取算法的研究。
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