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一种基于层接近度和分支距离函数的最优个体选择算法
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作者 安迎建 《统计与决策》 CSSCI 北大核心 2024年第12期41-45,共5页
文章针对目前最优个体评价及选择时存在的问题,在综合分析层接近度和分支距离函数特点的基础上,提出一种层接近度和分支距离函数联构的测试用例评价算法。该算法的基本思路是,在进化过程中选择领航个体时,先选择实际执行路径与目标路径... 文章针对目前最优个体评价及选择时存在的问题,在综合分析层接近度和分支距离函数特点的基础上,提出一种层接近度和分支距离函数联构的测试用例评价算法。该算法的基本思路是,在进化过程中选择领航个体时,先选择实际执行路径与目标路径接近度高的个体,再在这些个体集中选择分支距离最小的个体,从而得到领航能力最优的个体。实验结果表明,所提算法能快速寻优到测试用例,尤其是针对多层嵌套程序的测试用例,生成表现良好。 展开更多
关键词 接近函数 分支距离函数 启发式方法 最优个体生成算法
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基于接近函数的线性判别分析算法研究 被引量:3
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作者 李卫平 沈海斌 《电子技术(上海)》 2017年第2期5-7,共3页
采用接近函数(close)调节类间距离的权重,重新定义类间散度矩阵,改进原有的Fisher准则,使得类别均值之间相接近的类更好的分开,避免类间重叠和交叉的现象,从而提高了降维后的分类性能。选择经典LDA作为比较对象,在随机产生的数据集上进... 采用接近函数(close)调节类间距离的权重,重新定义类间散度矩阵,改进原有的Fisher准则,使得类别均值之间相接近的类更好的分开,避免类间重叠和交叉的现象,从而提高了降维后的分类性能。选择经典LDA作为比较对象,在随机产生的数据集上进行实验,结果表明该算法能够更好的将相接近的类分开。 展开更多
关键词 线性判别分析 接近函数 FISHER准则
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一类接近凸解析函数的性质 被引量:2
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作者 乔金静 黄苗苗 郭倩南 《河北大学学报(自然科学版)》 CAS 北大核心 2018年第6期567-571,共5页
作为导数实部大于零的解析函数类的推广,研究了一类接近凸解析函数,讨论了此类函数的如下性质:偏差定理、凸半径、部分和的接近凸性和极值函数,也研究了解析函数幂级数展开式中除首项外前n项系数为零的子类.
关键词 接近函数 偏差定理 凸半径 部分和 极值函数
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广义接近凸函数的变化域及极值点
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作者 黄爱武 陈少林 《湖南理工学院学报(自然科学版)》 CAS 2009年第2期9-12,81,共5页
给出了广义接近凸函数的变化域Vφ〈n〉(z0,αn)的一些性质以及它的极值点.
关键词 SCHWARZ引理 函数 广义接近函数 变化域 极值点
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The Crustal Thickness and Poissons Ratio Distribution in Guangdong and Its Adjacent Areas
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作者 Shen Yusong Kang Ying Xu Guoming 《Earthquake Research in China》 CSCD 2016年第1期108-118,共11页
Based on the teleseismic waveform data recorded by 82 permanent broadband stations in Guangdong Province and its adjacent areas including Fujian, Jiangxi, Hunan, Guangxi, Hainan and Taiwan, we calculate body wave rece... Based on the teleseismic waveform data recorded by 82 permanent broadband stations in Guangdong Province and its adjacent areas including Fujian, Jiangxi, Hunan, Guangxi, Hainan and Taiwan, we calculate body wave receiver functions under all stations, and obtain the crustal thickness and average Poisson's ratio beneath all stations by the H-K stacking-search method of receiver function. The results show that the crustal thickness with an average thickness of 29. 5km in Guangdong Province and its adjacent areas ranges between 26. 8km and 33. 6kin and gradually thins from northwest to southeast. The crustal thickness in the Zhujiang Delta, western Guangdong, Nanning and Nan'ao areas is relatively thinner and ranges between 25. 0km and 28. 0km. The minimum crustal thickness is about 26km beneath Wengtian, Hainan and the Zhanjiang zone and Shangchuan Island in Guangdong. The crustal thickness in the zones of Mingxi, Fujian and Yongzhou, Hunan is thicker and varies between 31.0km and 34.0km. The distribution of Poisson's ratio in our study region ranges between 0.20 and 0. 29. Poisson's ratios in Southeast Hainan, the coastal areas of East Guangdong and West Fujian and the South Jiangxi have distinctly higher values than in others. It suggests that the various geothermal fields located in these areas have high heat flow values. The distribution of crustal thickness and Poisson's ratio has an obvious block feature and may be related to the distribution of faults and historical earthquakes. 展开更多
关键词 Receiver function Crustal thickness Poisson's ratio
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Study of Crustal Thickness and Poisson Ratio of Hebei and Its Adjacent Areas by Teleseismic Receiver Function
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作者 Gong Meng Zhang Suxing +3 位作者 Luo Yan Zeng Xiangfang Jia Lifeng Liu Li 《Earthquake Research in China》 CSCD 2015年第3期331-340,共10页
We collected waveforms of a teleseismic event which occurred from January 2007 to October 2011 from 174 broadband seismic stations deployed in Hebei and its adjacent areas. Using the H-k stacking method,the average th... We collected waveforms of a teleseismic event which occurred from January 2007 to October 2011 from 174 broadband seismic stations deployed in Hebei and its adjacent areas. Using the H-k stacking method,the average thickness and Poisson's ratio of the crust are acquired. In order to obtain reliable receiver functions, the broadband seismograms of 488 teleseismic earthquakes occurring in the epicentral distance range from 30° to 90° with magnitudes larger than Mb6. 0 are collected. The results show that crustal thickness have conspicuous lateral heterogeneity and have good correlation to the regional geological tectonic features. Poisson ratio's value is equated with the global models estimates which fluctuate at about 0. 25. Crustal thickness has positive correlation to the topography and the Taihang Mountains form the transition zone of thick and thin crustal thickness. There is an obvious difference in crustal thickness beneath the north and south of the Shanxi earthquake zone and the Poisson ratio of Datong,Ningwu and Anze basins is greater than 0. 3. The crustal thickness beneath the Zhang-Bo( Zhangjiakou-Bohai Sea)earthquake zone decreases from west to north and its Poisson ratio shows conspicuous lateral heterogeneity. The thin crust and low Poisson ratio in the Huabei( North China)basin may correlate with the delamination of the North China craton. 展开更多
关键词 Hebei and its adjacent areas Receiver function H-k stacking Poisson ratioCrustal thickness
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ASYMPTOTIC RESULTS FOR OVER-DISPERSED OPERATIONAL RISK BY USING THE ASYMPTOTIC EXPANSION METHOD
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作者 LU Zhaoyang 《Journal of Systems Science & Complexity》 SCIE EI CSCD 2014年第3期524-536,共13页
In this paper, the author considers a new Loss-distribution-approach model, in which the over-dispersed operational risks are modeled by the compound negative binomial process. In the single dimensional case, asymptot... In this paper, the author considers a new Loss-distribution-approach model, in which the over-dispersed operational risks are modeled by the compound negative binomial process. In the single dimensional case, asymptotic expansion for the quantile of compound negative binomial process is explored for computing the capital charge of a bank for operational risk. Moreover, when the dependence structure between different risk cells is modeled by the Frank copula, this approach is extended to the multi-dimensional setting. A practical example is given to demonstrate the effectiveness of approximation results. 展开更多
关键词 Asymptotic expansion multivariate dependence operational risk over-dispersed valueat risk.
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