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iris数据集
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  iris data set
     Fisher's iris data set is used to compare the decision tree construction algorithm based on the knowledge dependence and the regression approach.
     使用Fisher's iris数据集对基于粗糙集理论中知识依赖性的决策树生成算法和用回归拟合方法的决策树生成算法进行比较。
短句来源
     Then though simulation on Fisher's iris data set and comparison with adaptive neural fuzzy inference system(ANFIS) the average test error is reduced by 15% and the operation speed is increased by about 30%.
     用Fisher's iris数据集仿真并同自适应神经模糊推理系统(ANFIS)比较,平均试验误差降低了15%,运算速度提高了约30%。
短句来源
     Iris data set is chosen to carry through experiments, the results show that the coverage of detector set generated by anomaly detection method based on immune principle and optimization model is larger than that generated by linear time detector generating algorithm and greedy detector generating algorithm, and can increase detection rate when applying in intrusion detection.
     选择经典的Iris数据集进行实验,结果表明,基于免疫优化模型的二进选择算法产生的检测集的覆盖大于线性算法和贪婪算法产生的检测集的覆盖,提高了入侵检测等异常检测的检测率。
短句来源
     The classifier is used in classifying iris data set, its classification result is better than that of the common cloud model.
     将此分类器与普通云分类器应用于iris数据集的分类实验,该分类器的分类效果好于后者.
短句来源
     The proposed algorithm was used to generate pattern classification rules for Iris data set.
     算法用于Iris数据集模式分类规则的提取 .
短句来源
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  “iris数据集”译为未确定词的双语例句
     The 2nd order nonlinear plant.
     分别是二阶非线性工厂模型,Lorenz系统,Mackey-Glass时间序列,Iris数据集和Wine数据集。
短句来源
     (4)Some useful study aiming at decision tree SVM multiclass classifier is bring to success . According to experiment result via iris dataset and remote sensing image dataset, we give an effective class-distance method to select a better hierarchical structure of decision tree .
     (4)在决策树多类SVM算法上进行了一些有益的探索,对如何选择一个较优的决策树结构在IRIS数据集和遥感测试数据集上进行了实验,提供了一种行之有效的确定较优决策树层次结构的类距离方法。
短句来源
     In order to address this issue, fuzzy density is used here to partition the input feature reasonably. Iris data sets are used to illustrate the effectiveness of the proposed scheme.
     针对这一问题 ,根据模糊积分的思想 ,本文通过分析隶属函数的变化曲线来确定模糊密度 ,以此为依据为输入特征划分合适的模糊变量 ,并以Iris数据集为例验证了该方法的有效性
短句来源
     Examples of clustering IRIS data and alerts in intrusion detection also proved the good performance of the KSOM method.
     对IRIS数据集和入侵检测报警数据的聚类也证明了核自组织映射聚类方法的良好性能.
短句来源
     The results of experiments on the real data show that the KPIM algorithm can effectively cluster on data with diversiform structures while guaranteeing the computation time in contrast to other previous algorithms.
     最后利用标准实验数据IRIS数据集测试,结果表明KPIM算法在保证收敛速度的同时,聚类效果更有效。
短句来源
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  相似匹配句对
     The proposed algorithm was used to generate pattern classification rules for Iris data set.
     算法用于Iris数据集模式分类规则的提取 .
短句来源
     Earthquake seismology and IRIS
     地震学和IRIS
短句来源
     Dataset is the core conception in ADO.
     数据集是ADO.
短句来源
     Finally, the experiments on the Iris and Wine benchmark dataset confirm the validities and feasibilities of the above two families models over those of the traditional ART and SART.
     最后,在Iris和Wine数据集上的实验证实了两族模型的有效性和可行性。
短句来源
     An object-Oriented Database Management System IRIS
     面向对象的数据库管理系统 IRIS
短句来源
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  iris data set
As an illustration the model is used to classify samples from a multispectral satellite image, a data set representing fruits, and Iris data set.
      
This new approach has been tested using four different classical domains, including such artificial distributions as spiral and uniform distibuted data sets, the Iris Data Set and an application domain about diabetes.
      
A cluster will be labeled as class c if its majority of the cluster belongs to class c in the Iris data set.
      
A similar observation can be made of the Iris data set.
      
Consistency index as a function of k and t for the Iris data set.
      
更多          
  iris ' data set
As an illustration the model is used to classify samples from a multispectral satellite image, a data set representing fruits, and Iris data set.
      
This new approach has been tested using four different classical domains, including such artificial distributions as spiral and uniform distibuted data sets, the Iris Data Set and an application domain about diabetes.
      
A cluster will be labeled as class c if its majority of the cluster belongs to class c in the Iris data set.
      
A similar observation can be made of the Iris data set.
      
Consistency index as a function of k and t for the Iris data set.
      
更多          


In the intelligence system,a kind of important qualitative knowledge is described by the fuzzy language of the fuzzy set theory. On the basis of the fuzzy qualitative knowledge formal description and self-organization competitive neural network characteristic, this paper presents a neural network model and method to acquire the membership functions and fuzzy rules from a training sample set of the numerical features. The experimental results about the Iris data set show that this method can describe these data...

In the intelligence system,a kind of important qualitative knowledge is described by the fuzzy language of the fuzzy set theory. On the basis of the fuzzy qualitative knowledge formal description and self-organization competitive neural network characteristic, this paper presents a neural network model and method to acquire the membership functions and fuzzy rules from a training sample set of the numerical features. The experimental results about the Iris data set show that this method can describe these data effectively.

智能系统中一类重要的定性知识要用模糊集理论中的模糊语言进行描述.本文在研究模糊定性知识形式描述和自组织竞争神经网络特性的基础上,提出了一种从一组具有数值特性的训练样本集中获取隶属函数和模糊规则的神经网络模型和方法.通过对Iris数据集的应用实验表明了该方法能对这一类数据进行有效的描述.

A clustering algorithm based on Evolution Strategies was proposed to make analysis on high dimensional data of liquid rocket engine propulsion system In order to prevent the solution population from premature convergence, the dynamic fitness adaptation technique and all sharing function were introduced An adaptive regulation scheme for evolution control parameters was specially presented for clustering analysis of high dimensional data A local clustering deadlock can also be overcome by the deadlock ...

A clustering algorithm based on Evolution Strategies was proposed to make analysis on high dimensional data of liquid rocket engine propulsion system In order to prevent the solution population from premature convergence, the dynamic fitness adaptation technique and all sharing function were introduced An adaptive regulation scheme for evolution control parameters was specially presented for clustering analysis of high dimensional data A local clustering deadlock can also be overcome by the deadlock check and cluster recombination & collapse strategies This algorithm was used in the optimal clustering analysis for the 560 data samples of 14 sorts of common faults, each of 68 dimensions, which were simulated for a liquid rocket engine In addition, comparison with fuzzy Kohonen clustering networks (FKCN) has also been made,based on IRIS data The simulation results show that the evolution strategies based on clustering algorithm is superior to other non evolutionary clustering algorithms, particularly when the data is of high dimensions

针对液体火箭发动机推进系统超高维故障样本数据的聚类问题 ,提出基于演化策略的最优统计聚类算法。为预防算法过早收敛 ,演化策略采用了父本适应值的动态调整值与共享函数 ,并针对超高维数据聚类提出了控制参数的适应性调整技术 ;为使算法能最终跳出局部最优死区 ,提出算法的局部调整策略。该算法用于液体火箭发动机典型故障仿真数据集分析 ,并取得了最优聚类结果。此外 ,还基于IRIS数据集比较了该算法与FKCN模糊自主聚类算法。仿真分析表明了算法在高维数据聚类分析中的优点。

In the paper,an effective method that the rough set theory is applied to traditional clustering algorithm is introduced. Iris data set is used as an example to explain this idea.

简要介绍了一种将粗糙集理论应用于传统的聚类算法 ,从而改进了算法的效率 ,并以Iris数据集为例说明了这种思想 .

 
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