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一种改进的基于加权网络的蛋白质复合物识别算法 被引量:2
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作者 赵碧海 熊慧军 +2 位作者 倪问尹 刘志兵 胡赛 《计算机科学》 CSCD 北大核心 2014年第6期231-234,共4页
不断增长的蛋白质相互作用数据使我们能够采用计算方法预测蛋白质复合物。然而,由于实验条件和技术的限制,现有的PPI网络中包含噪声。为了降低噪声对复合物识别所产生的负面影响,提出了一种改进的名为WPC的算法,用于从加权网络中识别蛋... 不断增长的蛋白质相互作用数据使我们能够采用计算方法预测蛋白质复合物。然而,由于实验条件和技术的限制,现有的PPI网络中包含噪声。为了降低噪声对复合物识别所产生的负面影响,提出了一种改进的名为WPC的算法,用于从加权网络中识别蛋白质复合物。给定一个选定节点,所有邻居节点组成候选集,候选集中节点的邻居节点组成邻居集。对于候选集中的节点,若该节点在候选集与邻居集间的加权比低于设定阈值,则将该点剔除。处理后的候选集被标记为复合物。对于没有包含在任何复合物中的节点,如果节点在某一复合物内的平均加权度超过一个自适应的阈值,则将其补充到该复合物中。对WPC算法和现有的几种经典蛋白质复合物识别算法的性能进行了综合比较。实验结果表明,WPC算法的性能优于几种对比的复合物识别算法。 展开更多
关键词 平均加权度 蛋白质复合物 蛋白质相互作用网络 加权
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基于改进模糊综合评判的仿真可信度评估方法 被引量:4
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作者 冉培志 李伟 +1 位作者 鲍然 马萍 《系统仿真学报》 CAS CSCD 北大核心 2020年第12期2469-2474,共6页
针对基于传统模糊综合评判的仿真可信度评估过程中专家根据个人偏好或期望确定权重、模糊合成运算选择不合理等引起的评估结果不准确等问题,提出了一种基于改进模糊综合评判的仿真可信度评估方法。针对树型评估指标体系,利用模糊综合评... 针对基于传统模糊综合评判的仿真可信度评估过程中专家根据个人偏好或期望确定权重、模糊合成运算选择不合理等引起的评估结果不准确等问题,提出了一种基于改进模糊综合评判的仿真可信度评估方法。针对树型评估指标体系,利用模糊综合评判矩阵,基于最小隶属度加权平均偏差确定评估指标体系中各层指标的权重;在模糊合成运算环节,利用隶属度加权平均偏差,获取综合评价向量,进而得到仿真可信度评估结果;应用于某半实物仿真系统可信度评估中,计算结果验证了该方法的合理性和可行性。 展开更多
关键词 可信评估 模糊综合评判 最小隶属加权平均偏差 树型评估指标体系
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煤热解过程中胶质体流动指数F的研究 被引量:6
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作者 杨光智 姚龙 +3 位作者 秦延军 魏士政 吴信慈 杨俊和 《煤炭转化》 CAS CSCD 北大核心 2016年第3期23-28,共6页
以煤的基氏流动度实验作为研究胶质体性质的出发点,提出以加权平均流动度lgF_(wa)和最大流动度lgF_m分别代表整个阶段胶质体所体现的平均质量和最佳质量,并提出以软固温度区间T_r-T_s表征胶质体数量.在此基础上,以因子分析为综合评价胶... 以煤的基氏流动度实验作为研究胶质体性质的出发点,提出以加权平均流动度lgF_(wa)和最大流动度lgF_m分别代表整个阶段胶质体所体现的平均质量和最佳质量,并提出以软固温度区间T_r-T_s表征胶质体数量.在此基础上,以因子分析为综合评价胶质体性质的模型,建立一个全面表征胶质体性质的新指标——流动指数F,发现流动指数F较lgF_m与煤工艺性质有更密切的联系,具有更好的加和性,预测焦炭质量更准确,表明流动指数F作为黏结性指标可以全面反映胶质体的性质. 展开更多
关键词 基氏流动 加权平均流动 胶质体 因子分析 流动指数
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一种粗糙集属性约简的改进算法 被引量:4
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作者 李玮 吴根秀 黄林颖 《现代电子技术》 2007年第4期169-171,共3页
通过对属性的重要性以及属性提供的信息量进行研究,提出一种综合考虑属性重要性和属性的信息量的属性加权平均重要度的概念,并构造在决策表中的基于此重要度的一种新的属性约简方法。通过实例计算表明,该算法简单有效。
关键词 粗糙集 属性约简 信息量 加权平均重要
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基于模糊时间序列对我国对外贸易中的进口水平的预测 被引量:5
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作者 杜江 李玉蓉 钟菲菲 《统计与决策》 CSSCI 北大核心 2010年第23期112-114,共3页
文章基于模糊时间序列对我国对我国对外贸易中的进口水平进行了预测分析,结果认为:在模糊时间序列分析中,用隶属度加权平均法比最大隶属度法的预测结果更为准确,表明常用的最大隶属度法在进口额即期增量的预测上未必适用。
关键词 模糊时间序列 无隶属加权平均 最大隶属
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Approach to obtaining weights of uncertain ordered weighted geometric averaging operator 被引量:1
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作者 许叶军 达庆利 《Journal of Southeast University(English Edition)》 EI CAS 2008年第1期110-113,共4页
The ordered weighted geometric averaging(OWGA) operator is extended to accommodate uncertain conditions where all input arguments take the forms of interval numbers. First, a possibility degree formula for the compa... The ordered weighted geometric averaging(OWGA) operator is extended to accommodate uncertain conditions where all input arguments take the forms of interval numbers. First, a possibility degree formula for the comparison between interval numbers is introduced. It is proved that the introduced formula is equivalent to the existing formulae, and also some desired properties of the possibility degree is presented. Secondly, the uncertain OWGA operator is investigated in which the associated weighting parameters cannot be specified, but value ranges can be obtained and the associated aggregated values of an uncertain OWGA operator are known. A linear objective-programming model is established; by solving this model, the associated weights vector of an uncertain OWGA operator can be determined, and also the estimated aggregated values of the alternatives can be obtained. Then the alternatives can be ranked by the comparison of the estimated aggregated values using the possibility degree formula. Finally, a numerical example is given to show the feasibility and effectiveness of the developed method. 展开更多
关键词 interval numbers uncertain ordered weighted geometric averaging operator possibility degree
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基于波动结构自动机的软件故障决策树构建方法
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作者 王倩 《科技通报》 北大核心 2013年第12期76-78,共3页
提出了一种基于波动结构自动机的软件故障决策树构建方法,分析波动结构的自动机模型,采用加权平均波动度衡量这种波动性,进而构建软件故障的决策树,对自动机的波动结构进行全面地分析,获取自动机软件故障的位置,通过故障决策树定义故障... 提出了一种基于波动结构自动机的软件故障决策树构建方法,分析波动结构的自动机模型,采用加权平均波动度衡量这种波动性,进而构建软件故障的决策树,对自动机的波动结构进行全面地分析,获取自动机软件故障的位置,通过故障决策树定义故障原因。实验结果说明,该种方法能够有效定位波动结构自动机的软件故障,具有较高的软件故障检测效率和精度,取得了令人满意的效果。 展开更多
关键词 波动结构 自动机 软件故障 决策树 加权平均波动
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Some OWA operator weights determination methods with RIM quantifier
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作者 刘新旺 《Journal of Southeast University(English Edition)》 EI CAS 2007年第S1期76-82,共7页
Based on the quantifier guided method,an ordered weighted averaging(OWA)weights generating method under given orness level with regular increasing monotone(RIM)quantifiers is proposed.Then the RIM quantifier based OWA... Based on the quantifier guided method,an ordered weighted averaging(OWA)weights generating method under given orness level with regular increasing monotone(RIM)quantifiers is proposed.Then the RIM quantifier based OWA weights generating method is modified to make the generated weights be monotonic,which can be used to express the decision maker's consistent preference information.Finally,both of these weights generating methods are extended to their generic forms,so that they can generate the OWA weights for any ordinary elements set with any given aggregated value. 展开更多
关键词 ordered weighted averaging operator orness measure aggregation weights
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A neural network method for estimating weighted mean temperature over China and adjacent areas 被引量:3
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作者 Long Fengyang Hu Wusheng +1 位作者 Dong Yanfeng Yu Longfei 《Journal of Southeast University(English Edition)》 EI CAS 2021年第1期84-90,共7页
To improve the applicability of the global pressure and temperature 2 wet(GPT2w)model in estimating the weighted mean temperature in China and adjacent areas,the error compensation technology based on the neural netwo... To improve the applicability of the global pressure and temperature 2 wet(GPT2w)model in estimating the weighted mean temperature in China and adjacent areas,the error compensation technology based on the neural network was proposed,and a total of 374800 meteorological profiles measured from 2006 to 2015 of 100 radiosonde stations distributed in China and adjacent areas were used to establish an enhanced empirical model for estimating the weighted mean temperature in this region.The data from 2016 to 2018 of the remaining 92 stations in this region was used to test the performance of the proposed model.Results show that the proposed model is about 14.9%better than the GPT2w model and about 7.6%better than the Bevis model with measured surface temperature in accuracy.The performance of the proposed model is significantly improved compared with the GPT2w model not only at different height ranges,but also in different months throughout the year.Moreover,the accuracy of the weighted mean temperature estimation is greatly improved in the northwestern region of China where the radiosonde stations are very rarely distributed.The proposed model shows a great application potential in the nationwide real-time ground-based global navigation satellite system(GNSS)water vapor remote sensing. 展开更多
关键词 weighted mean temperature GPT2w model neural network error compensation GNSS meteorology
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Novel Adaptive Weighted Mean Filter
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作者 程学珍 张京钊 程凤菊 《Journal of Measurement Science and Instrumentation》 CAS 2011年第2期116-119,共4页
Based on the advantages and disadvantages of the standard median filter and the standard wean filter, a new Adaptive Weighted Mean Filter(AWFM) was proposed in this paper. The filter window's size of every pixel wa... Based on the advantages and disadvantages of the standard median filter and the standard wean filter, a new Adaptive Weighted Mean Filter(AWFM) was proposed in this paper. The filter window's size of every pixel was adaptively adjusted. Then the suspidons noise points were examined by certain rules. After that, the authors calculate the weighting factors of the pixels by weighting function which was canstructed according to the differences between their gray values and the median value of all elements in the window. Finally they use the weighted average of gray values to substitute the gray value of the central pixel in the window. The results indicate that this filtering method is not only effective for impulse noise like median filter, but also better than the standard median filters. Compared with conventional filter, this filter methed can effectivdy suppress the mixture noise of images, and protect image's details well. 展开更多
关键词 image filter mixed noise weighted mean noise detect tion median jilter
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A global empirical model for mapping zenith wet delays onto precipitable water vapor using GGOS Atmosphere data 被引量:6
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作者 YAO YiBin XU ChaoQian +1 位作者 ZHANG Bao CAO Na 《Science China Earth Sciences》 SCIE EI CAS CSCD 2015年第8期1361-1369,共9页
The importance of water vapor in research of global climate change and weather forecast cannot be over emphasized; therefore substantial efforts have been made in exploring the optimal methods to measure water vapor. ... The importance of water vapor in research of global climate change and weather forecast cannot be over emphasized; therefore substantial efforts have been made in exploring the optimal methods to measure water vapor. It is well-established that with a conversion factor, zenith wet delays can be mapped onto precipitable water vapor (PWV). However, the determination of the exact conversion factor depends heavily on the accurate calculation of a key variable, weighted mean temperature of the trop- osphere (Tin). AS a critical parameter in Global Positioning System (GPS) meteorology, Tm has recently been modeled into a global grid known as GWMT. The GWMT model only requires the location and the day of year to calculate Tm. Despite the advantages that the GWMT model offers, anomalies still exist in oceanic areas due to low sampling resolution. In this study, we refine the GWMT model by incorporating the global Tm grid from Global Geodetic Observing System (GGOS) and obtain an improved model, GWMT-G. The results indicate that the GWMT-G model successfully addresses the anomaly in oceanic areas in the GWMT model and significantly improves the accuracy of Tm in other regions. 展开更多
关键词 GPS meteorology zenith wet delay GWMT model GWMT-G model GGOS
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