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BAYESIAN: 作品数：864被引量：1973H指数：16; 导出分析报告; 相关领域：自动化与计算机技术更多>>; 相关作者：陈阳周源泉方苇谢力陈梦成更多>>; 相关机构：东南大学吉林大学西安交通大学华中科技大学更多>>; 相关期刊：更多>>; 相关基金：国家自然科学基金国家重点基础研究发展计划国家高技术研究发展计划中央高校基本科研业务费专项资金更多>>

Bayesian track-before-detect algorithm for nonstationary sea clutter被引量：2: 《Journal of Systems Engineering and Electronics》2021年第6期1338-1344,共7页XU Cong HE Zishu LIU Haicheng LI Yadan; supported by the National Natural Science Foundation of China(61671139)。; Radar detection of small targets in sea clutter is a particularly demanding task because of the nonstationary characteristic of sea clutter.The track-before-detect(TBD)filter is an effective way to increase the signal...; 关键词：small target track-before-detect(TBD) nonstationary sea clutter closely spaced target

Joint 2D DOA and Doppler frequency estimation for L-shaped array using compressive sensing被引量：5: 《Journal of Systems Engineering and Electronics》2020年第1期28-36,共9页WANG Shixin ZHAO Yuan LAILA Ibrahim XIONG Ying WANG Jun TANG Bin; A joint two-dimensional(2D)direction-of-arrival(DOA)and radial Doppler frequency estimation method for the L-shaped array is proposed in this paper based on the compressive sensing(CS)framework.Revised from the conven...; 关键词：electronic warfare L-shaped array joint parameter estimation L1-norm minimization Bayesian compressive sensing(CS) pair matching

Finding optimal Bayesian networks by a layered learning method被引量：4: 《Journal of Systems Engineering and Electronics》2019年第5期946-958,共13页YANG Yu GAO Xiaoguang GUO Zhigao; supported by the National Natural Science Foundation of China(61573285); It is unpractical to learn the optimal structure of a big Bayesian network(BN)by exhausting the feasible structures,since the number of feasible structures is super exponential on the number of nodes.This paper propos...; 关键词：BAYESIAN network (BN) structure LEARNING layeredoptimal LEARNING (LOL)

Learning Bayesian networks by constrained Bayesian estimation被引量：3: 《Journal of Systems Engineering and Electronics》2019年第3期511-524,共14页GAO Xiaoguang YANG Yu GUO Zhigao; supported by the National Natural Science Foundation of China(61573285);the Innovation Foundation for Doctor Dissertation of Northwestern Polytechnical University,China(CX201619); Bayesian networks (BNs) have become increasingly popular in recent years due to their wide-ranging applications in modeling uncertain knowledge. An essential problem about discrete BNs is learning conditional probabil...; 关键词：BAYESIAN networks (BNs) PARAMETER LEARNING CONSTRAINTS SPARSE data

Joint optimization of sampling interval and control for condition-based maintenance using availability maximization criterion被引量：1: 《Journal of Systems Engineering and Electronics》2018年第1期203-215,共13页LI Xin CAI Jing ZUO Hongfu LIU Ruochen CHEN Xi GUO Jiachen; supported by the National Natural Science Foundation of China(51705221);the China Scholarship Council(201606830028);the Fundamental Research Funds for the Central Universities(NS2015072);the Funding of Jiangsu Innovation Program for Graduate Education(KYLX15 0313); Most of the maintenance optimization models in condition-based maintenance(CBM) consider the cost-optimal criterion, but few papers have dealt with availability maximization for maintenance applications. A novel optim...; 关键词：condition-based maintenance(CBM) availability maximization Markov chain Monte Carlo(MCMC) hidden semiMarkov model(HSMM) Bayesian control sampling interval

Bayesian-based information extraction and aggregation approach for multilevel systems with multi-source data被引量：4: 《Journal of Systems Engineering and Electronics》2017年第2期385-400,共16页Lechang Yang Jianguo Zhang Yanling Guo Qian Wang; supported by the National Basic Research Program of China(973 Program)(2013CB733000); The ever-increasing complexity of industry facilities has made the reliability analysis and assessment an imperative yet tough work. Motivated by practical engineering requirement, this paper develops a Bayesian-based...; 关键词：Artificial intelligence Data fusion Information analysis Information retrieval RELIABILITY Reliability analysis

E-Bayesian estimation for competing risk model under progressively hybrid censoring被引量：3: 《Journal of Systems Engineering and Electronics》2016年第4期936-944,共9页Min Wu Yimin Shi Yan Wang; supported by the National Natural Science Foundation of China(71171164;71401134;71571144);the Natural Science Basic Research Program of Shaanxi Province(2015JM1003); This paper considers the Bayesian and expected Bayesian（E-Bayesian） estimations of the parameter and reliability function for competing risk model from Gompertz distribution under Type-I progressively hybrid censori...; 关键词：Bayesian estimation expected Bayesian（E-Bayesian） estimation Gompertz distribution Type-I progressively hybrid censoring

Bayesian sequential testing for exponential life system with reliability growth被引量：4: 《Journal of Systems Engineering and Electronics》2011年第6期1023-1029,共7页Yunyan Xing Xiaoyue Wu; supported by the National Natural Science Foundation of China (70571083);the Research Fund for the Doctoral Program of Higher Education of China (20094307110013); A Bayesian sequential testing method is proposed to evaluate system reliability index with reliability growth during development.The method develops a reliability growth model of repairable systems for failure censore...; 关键词：reliability growth Bayesian method prior distribution sequential testing exponential life system.

Bayesian serial revision method for RLLC cluster systems failure prediction: 《Journal of Systems Engineering and Electronics》2011年第2期238-246,共9页Qiang Liu Guang Jin Jinglun Zhou Quan Sun Min Xi; supported by the National Natural Science Foundationof China (60701006; 60804054; 71071158); Failure prediction plays an important role for many tasks such as optimal resource management in large-scale system. However, accurately failure number prediction of repairable large-scale long-running computing （RLL...; 关键词：failure prediction cluster systems Bayesian approach failure rate.

Coordinated Bayesian optimal approach for the integrated decision between electronic countermeasure and firepower attack: 《Journal of Systems Engineering and Electronics》2010年第3期449-454,共6页Zheng Tang Xiaoguang Gao Chao Sun; supported by the National Natural Science Foundation of China (10377014);the Innovation Foundation of Northwestern Polytechnical university (2007KJ01027); The coordinated Bayesian optimization algorithm（CBOA） is proposed according to the characteristics of the function independence,conformity and supplementary between the electronic countermeasure（ECM） and the firep...; 关键词：electronic countermeasure firepower attack coordinated Bayesian optimization algorithm（CBOA）.

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