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uci数据库
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  uci database
     Finally,by the factual process for UCI database,the validity of MDV method is proved.
     最后,通过UCI数据库实例验证了MDV方法的有效性。
短句来源
     Finally, simulation experiments using the UCI database confirmed that the algorithm had good effects.
     最后使用UCI数据库进行仿真实验,效果良好.
短句来源
     Experiments are made on UCI database,and the results indicate the MBI-SVM algorithm has many good characteristics,such as stability,feasibility and practicality.
     在UCI数据库上进行了实验,结果证实该算法具有较高的稳定性、可行性和实用性。
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     Finally,by the factual process for UCI database,the validity of two improved algorithms are proved.
     最后通过UCI数据库的实例验证了改进算法的有效性。
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     Finally, by the factual process for UCI database, the validity of direct serach method is proved.
     最后通过UCI数据库的实例验证了算法的有效性。
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  theuci database
     The applied result of classifications in theUCI database proved that this method is effective.
     在UCI数据库的分类中的应用结果,证明了该方法的有效性。
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  “uci数据库”译为未确定词的双语例句
     Experiments on some UCI databases show that the result of CF-WFCM is better than that of FCM.
     我们选取了部分UCI数据库进行实验,实验结果证明:CF-WFCM算法的聚类结果优于FCM算法的聚类结果.
短句来源
     Several databases of UCI repository and a multiple sensor fusion system for workpiece identification are tested, showing the validity of these algorithms.
     将其应用于UCI数据库的分类和一个多传感器融合工件识别系统,结果表明了所提出算法的有效性。
短句来源
     The validity of the proposed algorithm is proved through the test on some databases of the UCI repository.
     对UCI数据库的分类测试体现了该粗糙集数据分析算法的有效性。
短句来源
     Experiments on UCI data sets show that compared with traditional methods our algorithm can get more accurate rules in a shorter time.
     UCI数据库上的实验结果表明,与传统方法相比该算法能够在更短的时间内得到分类精度更高的规则。
短句来源
     Several databases of UCI repository and a multiple sensor fusion system for workpiece identification are tested, showing the validity of the algorithm.
     在UCI数据库的分类和一个多传感器融合工件识别系统中的应用结果 ,表明了该算法的有效性
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  uci database
Results for classification were obtained using four data sets arbitrarily selected from the UCI database.
      


A practical algorithm to combine the neural networks classifiers based on Dempster-Shafer theory is proposed. The influence of the fact that every classifier has different classification ability for different class is considered. Several databases of UCI repository and a multiple sensor fusion system for workpiece identification are tested, showing the validity of the algorithm.

提出了基于Dempster -Shafer理论进行多个神经网络分类器组合的一种可行算法 ,该算法考虑了每个分类器对不同类的识别能力不同这一经验知识 .在UCI数据库的分类和一个多传感器融合工件识别系统中的应用结果 ,表明了该算法的有效性

This paper mainly discusses the attribute reduction in Rough Set theory.Firstly,the paper researches the Skowron discernibility matrix,the significance and relevance of attributes.Meanwhile,we use the conditional entropy to propose a heuristic algorithm for attribute reduction;Then,the paper corrects the mistake in the reference.Finally,the experiment shows that it can get better effect and it also shows the reduction results of UCI database using this algorithm.

论文主要对RoughSet理论中的属性约简问题进行了研究。从Skowron可辨识矩阵出发,通过对属性重要性及属性间依赖性的讨论,利用条件熵构造了一种一致数据属性约简的启发式算法;通过实例和UCI数据库证明了该算法的有效性;并对文献犤4犦中的错误进行了修正。

This paper introduces basic concepts of Rough Set Theory, finds its limitation by analyzing the current algorithm on inducing rules based Rough Set,proposes a improved algorithm on inducing rules based Rough Set,test and compares it with other algorithm in some aspects such as rules count of the rules set,average rule length of the rules set,average rule support of the rules set,forecast accuracy of the rules set used 9 standard datasets of UCI database. Experimentation makes sure validity of this new algorithm....

This paper introduces basic concepts of Rough Set Theory, finds its limitation by analyzing the current algorithm on inducing rules based Rough Set,proposes a improved algorithm on inducing rules based Rough Set,test and compares it with other algorithm in some aspects such as rules count of the rules set,average rule length of the rules set,average rule support of the rules set,forecast accuracy of the rules set used 9 standard datasets of UCI database. Experimentation makes sure validity of this new algorithm.

介绍了粗集理论的基本概念,通过对现有基于粗集的最小规则提取算法的分析,发现其缺陷,提出了一种改进的基于粗糙集的规则提取方法,并用UCI数据库中的9个标准数据集从规则集的规则数目、规则集的平均规则长度、规则集的平均规则支持、规则集的预测精度等4个指标对改进的算法进行了测试和对比分析,实验表明了该算法的有效性.

 
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