助手标题  
全文文献 工具书 数字 学术定义 翻译助手 学术趋势 更多
查询帮助
意见反馈
   uci数据库 在 自动化技术 分类中 的翻译结果: 查询用时:0.228秒
图标索引 在分类学科中查询
所有学科
自动化技术
计算机软件及计算机应用
更多类别查询

图标索引 历史查询
 

uci数据库
相关语句
  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
    At last the final rule set is got. We use a group of data from the UCI database for experiments. The results of the experiments show that the algorithm has a good classification capability.
    该算法先从预先选定的一类样本中生成规则集,在这过程中使用了阴性选择算子淘汰了一部分能够发生免疫识别的个体,然后通过引入了阴性选择算子的遗传算法加以进化,输出最终的规则集,最后使用了一组UCI数据库中的数据完成了算法的仿真实验,实验的结果表明该算法具备较好的分类性能。
短句来源
    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。
短句来源
  “uci数据库”译为未确定词的双语例句
    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
    This algorithm uses convergent SI(swarm intelligence) to find the optimal ensemble with using the C4.5 decision trees classifiers as based learners. Meanwhile,experiments are carried out on UCI data sets.
    该方法使用C4.5决策树分类器作为基学习器,利用高速收敛的群体智能算法来寻找最优集成模型,并在UCI数据库的多值分类数据集上进行了实验。
短句来源
查询“uci数据库”译词为用户自定义的双语例句

    我想查看译文中含有:的双语例句
例句
为了更好的帮助您理解掌握查询词或其译词在地道英语中的实际用法,我们为您准备了出自英文原文的大量英语例句,供您参考。
  uci database
Results for classification were obtained using four data sets arbitrarily selected from the UCI database.
      


The problems and defections of the existing methods of SVM multiclass classification are analyzed. To solve these problems, an SVM multiclass classification based on binary tree is put forward. In order to verify the effectiveness of this method, experiments have been made on UCI database, and the experimeatal results are satisfaoto-

分析了目前的支持向量机多类分类方法存在的问题以及缺点.针对以上问题及缺点,提出了基于 二叉树的支持向量机的多类分类方法,并在UCI数据库上进行了验证,取得了良好效果.

Neural network ensembles have been used increasingly in recent years to improve classifier’s generalization ability. There are several methods of designing neural network ensembles, such as weighted average linear ensemble. The output of the weighted average linear ensemble is a weighted average of the output of each component neural network, with the weights determined by a function. Based on the characteristic of the classification issue, a function is defined, which is the ratio of the pattern separability...

Neural network ensembles have been used increasingly in recent years to improve classifier’s generalization ability. There are several methods of designing neural network ensembles, such as weighted average linear ensemble. The output of the weighted average linear ensemble is a weighted average of the output of each component neural network, with the weights determined by a function. Based on the characteristic of the classification issue, a function is defined, which is the ratio of the pattern separability within class to the pattern scatter between classes. The minimum of the function corresponds to the optimal weights, so an optimal linear ensemble is obtained. The optimal weights are searched by a genetic algorithm. The rationale behind the function is also analyzed, showing that it accords with the Bayesian decision rule. Finally, to estimate the performance of this linear ensemble, two handwritten Chinese character feature sets and four data sets from UCI machine learning depository are used. Empirical study shows that the optimal linear ensemble method can produce ensemble of the neural network with a stronger generalization ability.

构造多神经网络集成系统,系统的输出由个体神经网络的输出线性加权产生.提出了一种度量个体神经网络在不同的权重下集成性能的判别函数,函数表示了由个体神经网络输出刻画的模式类内会聚性和类间散布性.应用遗传算法解决了求解最优个体网络集成权重问题.分析了该判别函数的合理性及其与Bayes决策规则的关系.用两个手写体汉字特征数据集和4个UCI数据库中的数据集比较了所提出的神经网络集成方法和其他几种神经网络集成方法的性能.

The automatic generation algorithm of discernibility function ’s disjunctive normal form(DNF) is studied based on rough set theory. The tansformation method form discernibility matrix to conjunction matrix is presented. And the mathimetic model of the transformation from conjunction matrix to disjunction matrix is esteblished for the attribute reduct, then the program flow graph is also put forward. Based on the model, direct search method is presented which can save the computing space and CPU occupation time,...

The automatic generation algorithm of discernibility function ’s disjunctive normal form(DNF) is studied based on rough set theory. The tansformation method form discernibility matrix to conjunction matrix is presented. And the mathimetic model of the transformation from conjunction matrix to disjunction matrix is esteblished for the attribute reduct, then the program flow graph is also put forward. Based on the model, direct search method is presented which can save the computing space and CPU occupation time, enhance the efficiency of decision rules generation. Finally, by the factual process for UCI database, the validity of direct serach method is proved.

基于粗糙集理论,研究分辨函数(DF)的析取范式的自动生成算法,提出由分辨矩阵到合取项矩阵(CM)的计算方法。建立了从属性约简的合取项矩阵(CM)到析取项矩阵(DM)转换的数学模型,并给出了算法的实现流程。基于数学模型,提出直接搜索的转换方法,节省了运算空间,降低了算法的时间复杂性,提高了规则生成的效率。最后通过UCI数据库的实例验证了算法的有效性。

 
<< 更多相关文摘    
图标索引 相关查询

 


 
CNKI小工具
在英文学术搜索中查有关uci数据库的内容
在知识搜索中查有关uci数据库的内容
在数字搜索中查有关uci数据库的内容
在概念知识元中查有关uci数据库的内容
在学术趋势中查有关uci数据库的内容
 
 

CNKI主页设CNKI翻译助手为主页 | 收藏CNKI翻译助手 | 广告服务 | 英文学术搜索
版权图标  2008 CNKI-中国知网
京ICP证040431号 互联网出版许可证 新出网证(京)字008号
北京市公安局海淀分局 备案号:110 1081725
版权图标 2008中国知网(cnki) 中国学术期刊(光盘版)电子杂志社