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A Primal Neural Network for Online Equality-Constrained Quadratic Programming
Chen, Ke1; Zhang, Zhaoxiang2,3,4
2018-04-01
发表期刊COGNITIVE COMPUTATION
卷号10期号:2页码:381-388
文章类型Article
摘要This paper aims at solving online equality-constrained quadratic programming problem, which is widely encountered in science and engineering, e.g., computer vision and pattern recognition, digital signal processing, and robotics. Recurrent neural networks such as conventional GradientNet and ZhangNet are considered as powerful solvers for such a problem in light of its high computational efficiency and capability of circuit realisation. In this paper, an improved primal recurrent neural network and its electronic implementation are proposed and analysed. Compared to the existing recurrent networks, i.e. GradientNet and ZhangNet, our network can theoretically guarantee superior global exponential convergence. Robustness performance of our such neural model is also analysed under a large model implementation error, with the upper bound of stead-state solution error estimated. Simulation results demonstrate theoretical analysis on the proposed model, which also verify the effectiveness of the proposed model for online equality-constrained quadratic programming.
关键词Recurrent Neural Networks Online Equality-constrained Quadratic Programming Global Exponential Convergence Robustness Analysis
WOS标题词Science & Technology ; Technology ; Life Sciences & Biomedicine
DOI10.1007/s12559-017-9510-4
关键词[WOS]SUPPORT VECTOR MACHINE ; MATRIX-INVERSION ; ROBUSTNESS ANALYSIS ; REGRESSION ; EQUATIONS ; DYNAMICS ; MINIMIZATION ; COMPUTATION ; ARM
收录类别SCI
语种英语
项目资助者National Natural Science Foundation of China(61773375 ; Microsoft Collaborative Research Project ; Academy of Finland(298700) ; 61375036 ; 61511130079)
WOS研究方向Computer Science ; Neurosciences & Neurology
WOS类目Computer Science, Artificial Intelligence ; Neurosciences
WOS记录号WOS:000430190600017
引用统计
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/20441
专题类脑智能研究中心
作者单位1.Tampere Univ Technol, Signal Proc Lab, Tampere, Finland
2.CAS Ctr Excellence Brain Sci & Intelligence Techn, Beijing, Peoples R China
3.Chinese Acad Sci, Inst Automat, CASIA, NLPR, Beijing, Peoples R China
4.UCAS, Beijing, Peoples R China
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Chen, Ke,Zhang, Zhaoxiang. A Primal Neural Network for Online Equality-Constrained Quadratic Programming[J]. COGNITIVE COMPUTATION,2018,10(2):381-388.
APA Chen, Ke,&Zhang, Zhaoxiang.(2018).A Primal Neural Network for Online Equality-Constrained Quadratic Programming.COGNITIVE COMPUTATION,10(2),381-388.
MLA Chen, Ke,et al."A Primal Neural Network for Online Equality-Constrained Quadratic Programming".COGNITIVE COMPUTATION 10.2(2018):381-388.
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