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iris数据
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  iris data
     The methods of the IRIS data remote access
     远程访问IRIS数据的方法
短句来源
     Experimental results for both Iris data and Wine data verify the validity of our method.
     Iris数据,Wine数据的实验结果都验证了新方法的可行性。
短句来源
     Test result on IRIS data set shows the validity of the MKFDA.
     在IRIS数据上的实验结果验证了MKFDA方法的有效性.
短句来源
     The experiment with IRIS data and synthetic data illustrates the effectiveness of the new algorithm.
     IRIS数据和人造数据的实验结果表明该算法的有效性。
短句来源
     The experimental results on the Iris data set and Yale face database show that the new algorithm is feasible for the multi-class SVM.
     通过对实际的Iris数据和Yale人脸库的分类实验,结果表明,新算法对于解决多类SVM的分类问题是很有效的。
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  “iris数据”译为未确定词的双语例句
     A study is presented on fuzzy clustering algorithm, improvements have been made on the fuzzy C means clustering algorithm(FCM) by dividing it into two stages, and it is transformed into two stage fuzzy C means clustering Algorithm(TFCM).
     对模糊聚类分析算法进行研究 ,在模糊C -均值算法的基础上加以改进 ,形成二阶段模糊C -均值算法 ,使其对Iris数据聚类。
短句来源
     The simulation results on the IRIS dataset classifying problem illustrate that the performance of the proposed method is better than that of the conventional classification methods.
     对IRIS数据的应用结果表明提出的方法比常规的分类算法具有明显的优势。
短句来源
     A fuzzy rule is created for each cluster and these rules form the rule-based model for classification. Finally, membership functions simplification and parameters optimization are performed to improve the performance of the system.
     然后对每个特征子空间产生一条模糊规则 ,将所有的规则组合在一起形成初始模糊分类系统 ,并对该系统进行结构简化和参数优化 ,在系统结构尽可能简单的前提下 ,进一步提高系统的分类性能。 最后利用该方法对二维特征空间的两类样本和 Iris数据样本进行分类。
短句来源
     This method firstly introduces the fuzzy rule extraction technology which is suitable for classification, then presents a two-level determination classification algorithm based on fuzzy rules.
     首先介绍了一种新的模糊规则提取方法 ,然后基于所提取的模糊规则给出了一个采用二级判决的分类算法 ,并利用IRIS数据对此分类算法进行了仿真测试。
短句来源
     Our goal is to obtain the magnitude and orientation of upper mantle anisotropy and provide constraints for the evolution model of the crust and mantle. We use the technique of Silver and Chan to determine SKS wave splitting parameters at more than 80 three-component broadband stations in China and neighboring regions, including the azimuths of fast polarization direction(φ) and delay times of split shear wave(δt).
     选用中国数字化宽频带地震台网 (CB台网 )和美国IRIS数据中心提供的三分量宽频带数字化地震资料 ,使用SC(SilverandChan ,1991)方法 ,得到了中国大陆及周边地区 80多个台站下方上地幔各向异性参数 ,即快波偏振方向 φ和快慢波到时差δt.
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  相似匹配句对
     DATA
     数据
短句来源
     DATA & INFORMATION
     数据
短句来源
     IRIS DMC Earthquake Data Services
     IRIS DMC的数据服务
短句来源
     The methods of the IRIS data remote access
     远程访问IRIS数据的方法
短句来源
     Earthquake seismology and IRIS
     地震学和IRIS
短句来源
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  iris data
The ratio τvis/τ9 ≈ 1 is in better agreement with the IRIS data (materials like montmorillonite).
      
Hiding iris data for authentication of digital images using wavelet theory
      
This paper introduces an efficient approach to protect the ownership by hiding an iris data into digital image for an authentication purpose.
      
The simulation results show that this new method works well for the traditional iris data and an artificial data set, which contains un-equally sized and spaced clusters.
      
The clustering results on three data sets, Iris data and two artificial data sets, are analyzed using the proposed measures.
      
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The experiment of the uncertainty of the K-meaus method is described in this paper. A data set of two-dimensional 210 samples and the IRIS data set o'f four-dimensional 150 patterns are analyzed. In order to compare different results of experiment, three kinds of approaches to select initial centers of classes are considered. In the comparison process, three performance indexes are employed as criteria of the results of K-means method. A new clustering method OUPIC is developed.

本文详细描述了K均值聚类法结果的非确定性实验。测试了二维的210点子样集合和四维的150点IRIS数据。比较了三种聚类初始中心的选择方法。在比较的过程中采用了三种性能指标作为聚类结果好坏的判断基准,验证了m性能指标的合理性。在实验分析的基础上,提出了一种新的聚类算法OUPIC。

A fuzzy associative classifier is proposed, with evolutionary optimizing methods for its training presented. Finally, the performance of the classifier and its training methods are demenstrated with experiments on IRIS data.

提出了模糊联想分类器,采用进化优化的方法进行这种分类器的训练.最后用IRIS数据的分类实验进行了验证.

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.

 
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