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
   fuzzy similarity index 的翻译结果: 查询用时:0.006秒
图标索引 在分类学科中查询
所有学科
力学
神经病学
更多类别查询

图标索引 历史查询
 

fuzzy similarity index
相关语句
  模糊相似性指数
     A Heavyside function in correlation integral is replaced by a Gaussian function on calculation fuzzy similarity index, which eliminates the effect from the crisp boundary of Heavyside function.
     在计算关联和时用Gaussian 函数代替 Heavyside 函数,克服了 Heavyside 函数的刚性边界问题,提出了模糊相似性指数方法。
短句来源
     In this paper, we proposed a fuzzy similarity index method to analyze the similarity of nonlinear time series. Using this method, different types of systems or different states of a single system can then be distinguished by calculating similarity between different time series or different segments of same time series. Gaussian function is instead of the Heavyside function within correlation sum at calculating a similarity index, so the rigid boundary of the Heavyside function is eliminated.
     本文提出了分析非线性时间序列动力学相似性的模糊相似性指数方法,通过计算不同时间序列或者同一时间序列的不同区段的动力学相似性,可以识别不同动力学系统的内在属性或者同一系统的动力学状态的改变.该方法在计算关联和时,我们用Guassian函数代替Heavyside阶跃函数,克服了Heavyside阶跃函数的刚性边界问题.通过对Logistic映射数值序列和脑电信号实例检验表明,该方法计算相似性指数更加准确和平稳。
短句来源
     The result shows that the fuzzy similarity index is better than dynamical similarity index in increasing anticipation time and decreasing false prediction rate for the prediction of epileptic seizure.
     分析结果表明模糊相似性指数方法能够比动态相似性指数方法获得更长的预测时间和更低的错误预测率。
短句来源
  模糊相似指标
     By means of the concept of fuzzy similarity, a disaggregation method is presented here. As a criterion to judge the similarity degree between a generated sample and a historic sample, a weighted fuzzy similarity index which consists of a distance and a correlation coefficient between the two samples is used in this method.
     借助于模糊相似的概念,本文提出了一种解集方法,在其中构造了一个由兰氏距离和相关系数组合而成的加权模糊相似指标,作为判断生成样本与历史样本相似程度的标准.
短句来源
  “fuzzy similarity index”译为未确定词的双语例句
     Finally,the fuzzy similarity index is applied to indicate the preictal state of nine rats with EEG signals.
     最后,分析大鼠癫痫EEG信号,检测癫痫发作前期状态。
短句来源
  相似匹配句对
     Fuzzy similarity matrix equation
     Fuzzy相似矩阵方程
短句来源
     A Fuzzy Logic with Similarity
     一个带有相似性关系的模糊逻辑
短句来源
     Fuzzy Integral
     Fuzzy积分
短句来源
     Fuzzy Intervals
     Fuzzy区间
短句来源
     RECURSIVE SIMILARITY
     递归相似
短句来源
查询“fuzzy similarity index”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
没有找到相关例句


The objective of this paper is to study how to disaggregate the synthetic generated monthly time series of flow and sediment discharge into five-days mean time series during flood period in a hydrometric station, which is iocated on the upstream of a large operating resevior of Shang-xi province.The monthly flow and sediment discharge time series had been generated in the paper "SYNTHETIC GENERATION OF MONTHLY RIVER SEDIMENT DISCHARGE TIME SERIES" beforhand. By means of the concept of fuzzy similarity, a disaggregation...

The objective of this paper is to study how to disaggregate the synthetic generated monthly time series of flow and sediment discharge into five-days mean time series during flood period in a hydrometric station, which is iocated on the upstream of a large operating resevior of Shang-xi province.The monthly flow and sediment discharge time series had been generated in the paper "SYNTHETIC GENERATION OF MONTHLY RIVER SEDIMENT DISCHARGE TIME SERIES" beforhand. By means of the concept of fuzzy similarity, a disaggregation method is presented here. As a criterion to judge the similarity degree between a generated sample and a historic sample, a weighted fuzzy similarity index which consists of a distance and a correlation coefficient between the two samples is used in this method.In addition, the reasonableness of this method is explained through comparing the generated five-days mean time series with the historic five-days mean time series.

本文研究的是如何将山西省某一现有大型水库上游的入库水文站人工生成的洪水期水沙逐月长序列资料、解集成五日平均的水沙序列资料.该站逐月序列资料的人工生成前已在河流逐月输沙率时间序列的人工生成一文中完成.借助于模糊相似的概念,本文提出了一种解集方法,在其中构造了一个由兰氏距离和相关系数组合而成的加权模糊相似指标,作为判断生成样本与历史样本相似程度的标准.此外,通过对解集而成的五日平均水沙序列与历史五日平均水沙序列作比较,对该解集方法的合理性进行了阐述.

In this paper, we proposed a fuzzy similarity index method to analyze the similarity of nonlinear time series. Using this method, different types of systems or different states of a single system can then be distinguished by calculating similarity between different time series or different segments of same time series. Gaussian function is instead of the Heavyside function within correlation sum at calculating a similarity index, so the rigid boundary of the Heavyside function is...

In this paper, we proposed a fuzzy similarity index method to analyze the similarity of nonlinear time series. Using this method, different types of systems or different states of a single system can then be distinguished by calculating similarity between different time series or different segments of same time series. Gaussian function is instead of the Heavyside function within correlation sum at calculating a similarity index, so the rigid boundary of the Heavyside function is eliminated. Simulation and real EEG data confirmed that this method was more accurate and robust.

本文提出了分析非线性时间序列动力学相似性的模糊相似性指数方法,通过计算不同时间序列或者同一时间序列的不同区段的动力学相似性,可以识别不同动力学系统的内在属性或者同一系统的动力学状态的改变.该方法在计算关联和时,我们用Guassian函数代替Heavyside阶跃函数,克服了Heavyside阶跃函数的刚性边界问题.通过对Logistic映射数值序列和脑电信号实例检验表明,该方法计算相似性指数更加准确和平稳。

This paper proposes a fuzzy similarity method to predict epileptic seizures with electroencephalography(EEG).First,multiple-autocorrelation and Cao's method are employed to reconstruct a phase space of EEG recordings.Second,instead of Heavyside function is Gaussian function used in correlation integral for calculating a similarity index,so the crisp boundary of the Heavyside function is eliminated to make the similarity index is more accurate and reliable.Finally,the fuzzy similarity index is applied to...

This paper proposes a fuzzy similarity method to predict epileptic seizures with electroencephalography(EEG).First,multiple-autocorrelation and Cao's method are employed to reconstruct a phase space of EEG recordings.Second,instead of Heavyside function is Gaussian function used in correlation integral for calculating a similarity index,so the crisp boundary of the Heavyside function is eliminated to make the similarity index is more accurate and reliable.Finally,the fuzzy similarity index is applied to indicate the preictal state of nine rats with EEG signals.The result shows that the fuzzy similarity index is better than dynamical similarity index in increasing anticipation time and decreasing false prediction rate for the prediction of epileptic seizure.

本研究提出基于EEG序列模糊相似性指数方法预测癫痫发作。首先,结合复自相关法和Cao法对EEG序列进行了相空间重构;然后,计算相关积分时用Gaussian函数代替Heavyside函数,克服了Heavyside函数的刚性边界问题,使得计算相似性指数更加准确和可靠;最后,分析大鼠癫痫EEG信号,检测癫痫发作前期状态。分析结果表明模糊相似性指数方法能够比动态相似性指数方法获得更长的预测时间和更低的错误预测率。

 
图标索引 相关查询

 


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