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A Primal Neural Network for Online Equality-Constrained Quadratic Programming
Chen, Ke1; Zhang, Zhaoxiang2,3,4
Source PublicationCOGNITIVE COMPUTATION
2018-04-01
Volume10Issue:2Pages:381-388
SubtypeArticle
AbstractThis 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.
KeywordRecurrent Neural Networks Online Equality-constrained Quadratic Programming Global Exponential Convergence Robustness Analysis
WOS HeadingsScience & Technology ; Technology ; Life Sciences & Biomedicine
DOI10.1007/s12559-017-9510-4
WOS KeywordSUPPORT VECTOR MACHINE ; MATRIX-INVERSION ; ROBUSTNESS ANALYSIS ; REGRESSION ; EQUATIONS ; DYNAMICS ; MINIMIZATION ; COMPUTATION ; ARM
Indexed BySCI
Language英语
Funding OrganizationNational Natural Science Foundation of China(61773375 ; Microsoft Collaborative Research Project ; Academy of Finland(298700) ; 61375036 ; 61511130079)
WOS Research AreaComputer Science ; Neurosciences & Neurology
WOS SubjectComputer Science, Artificial Intelligence ; Neurosciences
WOS IDWOS:000430190600017
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/20441
Collection类脑智能研究中心
Affiliation1.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
Recommended Citation
GB/T 7714
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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