检索结果-南通市图书馆

New conflict representation model in generalized power space

在线全文

学校读者我要写书评

暂无评论

Journal of Systems Engineering and Electronics 2012年第1期23卷 1-9页

作者： You He Lifang Hu Xin Guan deqiang han Yong Deng Research Institute of Information Fusion Naval Aeronautical and Astronautical University Yantai 264001 E R. China Navy Armament Academy Beijing 102249 P. R. China College of Electronic Science and Engineering National University of Defense Technology Changsha 410073 E R. China Institute of Integrated Automation Xi＇an Jiaotong University Xi＇an 710049 E R. China School of Electronics and Information Technology Shanghai Jiaotong University Shanghai 200240 E R. China

The study on alternative combination rules in Dempster- Shafer theory （DST） when evidences are in conflict has emerged again recently as an interesting topic, especially in data/information fusion applications. The earlier researches have mainly focused on investigating the alternative which would be appropriate for the conflicting situation, under the assumption that a conflict is identified. However, the current research shows that not only the combination rule but also the classical conflict coefficient in DST are not correct to determine the conflict degree between two pieces of evidences. Most existing methods of measuring conflict do not consider the open world situation, whose frame of discernment is incomplete. To solve this problem, a new conflict representa- tion model to determine the conflict degree between evidences is proposed in the generalized power space, which contains two parameters： the conflict distance and the conflict coefficient of inconsistent evidences. This paper argues that only when the con- flict measure value in the new representation model is high, it is safe to say the evidences are in conflict. Experiments illustrate the efficiency of the proposed conflict representation model.

关键词： Dezert-Smarandache theory (DSmT) conflict evidence Dempster rule of combination information fusion.

Modified center-based feature line classification approach

在线全文

学校读者我要写书评

暂无评论

Frontiers of Electrical and Electronic Engineering in China 2010年第2期5卷 173-178页

作者： deqiang han Chongzhao han Yi YANG Institute of Integrated Automation Xi’an Jiaotong UniversityXi’an 710049China

A novel classification approach called modified center-based feature line(MCFL)is proposed to reduce the computational cost of the nearest feature line(NFL)and maintain the advantages of *** NFL,MCFL defines a different type of feature line and utilizes both the query point’s local information and corresponding class-global information in training *** experiments provided,the comparisons with the nearest neighbor(NN),NFL,and other NFL-refined approaches show that the computation time of MCFL can be shortened dramatically with less accuracy *** proposed is probably a better choice for the classification application tasks of large-scale dataset.

关键词： classification nearest feature line(NFL) nearest neighbor line(NNL) center-based nearest neighbor(CNN) modified center-based feature line(MCFL)

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

对危险化学品行政许可条件认定的审查思路

人民司法 2024年第17期 98-101页

作者：韩德强殷勤李毅斌最高人民法院江苏省南通市中级人民法院山东省济南市中级人民法院

【裁判要旨】危险化学品经营许可审批事项,属于行政机关依其专业知识和判断依法作出的审批,应遵循司法谦抑和适当性审查原则。行政机关依照行业标准,遵照首次中请审批和延续中请审批侧重于保护法益的不同,经审核后认定相对人以生产环节... 详细信息

【裁判要旨】危险化学品经营许可审批事项,属于行政机关依其专业知识和判断依法作出的审批,应遵循司法谦抑和适当性审查原则。行政机关依照行业标准,遵照首次中请审批和延续中请审批侧重于保护法益的不同,经审核后认定相对人以生产环节的安全评价报告代替经营环节的安全评价报告,不符合行政许可的实质条件,据此作出不予许可决定,属于依法履行法定审查职责,人民法院应予支持。

关键词：实质条件司法谦抑危险化学品保护法益行业标准行政许可裁判要旨经营许可

CLASSIFIER FUSION BASED ON EVIDENCE THEORY AND ITS APPLICATION IN FACE RECOGNITION

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Journal of Electronics(China) 2009年第6期26卷 771-776页

作者： Yang Yi han Chongzhao han deqiang Institute of Integrated Automation Xi＇an Jiaotong University Xi＇an 710049 China

A multiple classifier fusion approach based on evidence combination is proposed in this paper. The individual classifier is designed based on a refined Nearest Feature Line (NFL),which is called Center-based Nearest Neighbor (CNN). CNN retains the advantages of NFL while it has relatively low computational cost. Different member classifiers are trained based on different feature spaces respectively. Corresponding mass functions can be generated based on proposed mass function determination approach. The classification decision can be made based on the combined evidence and better classification performance can be expected. Experimental results on face recognition provided verify that the new approach is rational and effective.

关键词： Nearest Feature Line (NFL) Evidence combination Classifier fusion Face recognition

Design of Multiple Classifier Systems Based on Evidential Neural Network

在线全文

学校读者我要写书评

暂无评论

Design of Multiple Classifier Systems Based on Evidential Ne...

Systematical study of the mechanistic factors regulating genome dynamics in vivo by CRISPRsie

第36届中国控制会议

作者： Hongshun He deqiang han Yi Yang Institute of Integrated Automation Xi'an Jiaotong University SKLSVMS School of AerospaceXi'an Jiaotong University

ISBN: (纸本)9781538629185

To make full use of the data information and improve the classification performance,a new evidential neural network classifier is proposed and a novel implementation of multiple classifier systems based on the new evidential neural network classifier is presented in this *** ambiguous data contained in the training data is considered as a new class-compound class and the training data is reconstructed into a new data set with compound *** evidential neural network member classifiers are trained using the new data set with compound classes,and the classification output is modeled with the belief *** use of a variety of fusion rules in evidence theory to combine the member *** to the experimental results on the artificial data sets and some UCI data sets,the new multiple classifier systems can effectively improve the classification accuracy compared with some other existing ways to implement multiple classifier systems.

关键词： Ambiguity Neural Network Multiple Classifier System Evidence Theory Belief functions

来源： cnki会议评论

在线全文

cnki会议

学校读者我要写书评

暂无评论

Journal of Molecular Cell Biology 2019年第11期11卷 1018-1020页

作者： deqiang han Yu Hong Xueying Mai Qingtao Hu Guangqing Lu Jinzhi Duan Jingru Xu Xiaofang Si Yu Zhang National Institute of Biological Sciences Beijing 102206China Peking University-Tsinghua University-National Institute of Biological Sciences Joint Graduate Program School of Life SciencesPeking UniversityBeijing 100871China Graduate School of Peking Union Medical College Beijing 100730China Tsinghua Institute of Multidisciplinary Biomedical Research Tsinghua UniversityBeijing 100084China

The spatiotemporal regulation of threedimensional(3D)genome dynamics has been implicated in various genome functions including gene transcription,DNA recombination,DNA replication,and DNA repair(Bickmore,2013).

关键词： dynamics vivo regulating

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

雾化参数对H70黄铜粉粒度分布的影响

粉末冶金技术 2005年第4期23卷 287-290页

作者：李勇韩德强江西理工大学材料与化学工程学院赣州341000

从气体动力学和流体力学分析了雾化气体压力、金属熔体温度和导液管内径对H70黄铜雾化粉末粒度分布的影响。结果表明:适当地提高气体压力和金属熔体温度或者减小导液管内径,均能使雾化粉末细粉量增加。当雾化气体压力为1.3 MPa,金属熔... 详细信息

从气体动力学和流体力学分析了雾化气体压力、金属熔体温度和导液管内径对H70黄铜雾化粉末粒度分布的影响。结果表明:适当地提高气体压力和金属熔体温度或者减小导液管内径,均能使雾化粉末细粉量增加。当雾化气体压力为1.3 MPa,金属熔体温度为1 160℃,导液管内径为3.5 mm时,所制得粉末的粒度分布最理想。

关键词：气体雾化雾化压力熔体温度粉末粒度雾化粉末粒度分布铜粉气体压力流体力学分析气体动力学

Pest identification based on multiple classifier system

在线全文

学校读者我要写书评

暂无评论

Pest identification based on multiple classifier system

第37届中国控制会议

作者： Jinhua Liu deqiang han Yi Yang Institute of Integrated Automation Xian Jiaotong University SKLSVMS School of AerospaceXian Jiaotong University

Pest identification technology is crucial to the grain storage. Traditional identification methods with single classifier are not competent under the complicate environment. The multiple classifier system（MCS） is considered to be an effective method, but there should exist the diversity between member classifiers. In order to improve identification accuracy, the MCS based on diversity measure is built in this paper. Our MCS uses the BP and nearest neighbor（NN） classifiers on different features for generating different member classifiers. Among member classifiers, those with larger diversities are selected to construct the MCS. In the final, the voting method or the weighted average method is used for fusing the member classifiers *** show that classification performance of MCS performs well when dealing with the problem of pest identification.

关键词： pest identification multiple classifier system diversity measure identification accuracy classifier

来源： cnki会议评论

在线全文

cnki会议

学校读者我要写书评

暂无评论

一种基于证据距离的多分类器差异性度量

航空学报 2012年第6期33卷 1093-1099页

作者：杨艺韩德强韩崇昭西安交通大学航天航空学院陕西西安710049 西安交通大学电子与信息工程学院综合自动化研究所陕西西安710049

多分类器系统因其能够显著提升分类精度而引发了广泛关注。多分类器系统中各子分类器间的差异性是提升融合分类精度的先决条件。提出了一种基于证据距离的分类器系统差异性度量,同时基于该度量提出一种多分类器系统构造方法。综合了既... 详细信息

多分类器系统因其能够显著提升分类精度而引发了广泛关注。多分类器系统中各子分类器间的差异性是提升融合分类精度的先决条件。提出了一种基于证据距离的分类器系统差异性度量,同时基于该度量提出一种多分类器系统构造方法。综合了既有差异性度量、所提新差异性度量以及在训练样本集上的分类性能等多个指标,实现了多分类器系统的有效构造。实验结果表明,所提差异性度量及多分类器系统构造方法是合理的,能有效提升融合分类精度。

关键词：多分类器系统差异性度量证据理论证据距离多分类器融合分类器