1.
Acquisition of classification rule based onquantum-behaved particle swarm optimization
基于量子行为的粒子群优化算法分类规则获取
2.
Clustering Analysis and Rules Educing in ARMRDB;
ARMRDB模型中的聚类分析和规则提取
3.
An extraction of customer classification rule based on RFM and rough set
基于RFM和粗糙集的客户分类规则提取
4.
On the Acquisition of Linguistic Rules Through Reading Articles;
论从文章中获取语言规则、文章规则
5.
Decision rules acquisition algorithm for personalized knowledge based on rough set and rule presentation
个性化决策规则获取算法及规则表示
6.
Approximation Distribution Reduction and Decision Rules Obtaining Based on Rough Set;
基于粗糙集的近似分布约简与决策规则获取
7.
Customer Requirement Obtained by Using Clustering Analysis Approach in Mass Customization;
大规模定制中应用聚类分析法获取客户需求
8.
Research and Application of Text Feature Reduction and Classification Rule Extraction;
文本特征降维与分类规则抽取方法研究与应用
9.
Research of Rule Extraction and Classification Algorithm Based on Neural Network;
基于神经网络的规则提取与分类算法的研究
10.
The Study on the Neural Network Classification and the Extracting Rule Technology;
神经网络分类器及其规则抽取技术的研究
11.
Chinese Non-taxonomic Relation Extraction Based on Extended Association Rule
基于扩展关联规则的中文非分类关系抽取
12.
Rule Extraction Approach to Text Categorization Based on Multi-population Collaborative Optimization
基于多种群协同优化的文本分类规则抽取方法
13.
Rule extraction for tumor/normal tissue classification based on microarray data
基于基因表达谱的肿瘤样本分类规则提取
14.
The conclusion reached by such analysis.
由此类分析获取的结论.
15.
Calculating Process with Serial Carry Chain for Rules Extraction Based on the Arbitrary Division
基于任意分割的串行进位链规则获取的计算流程
16.
The diagnosis rules are obtained by combination and reduction.
采用合并归约法获取了故障诊断规则。
17.
Research on the Method of Decision Rule Acquisition Based on Concept Lattice;
基于概念格的决策规则获取方法研究
18.
Rule generation approach based on rough set theory;
一种基于粗糙集理论的规则获取算法