A Primal Neural Network for Online Equality-Constrained Quadratic Programming
文献类型：期刊论文
| 作者 | Chen, Ke1; Zhang, Zhaoxiang2,3,4
|
| 刊名 | COGNITIVE COMPUTATION
 |
| 出版日期 | 2018-04-01 |
| 卷号 | 10期号:2页码:381-388 |
| 关键词 | Recurrent Neural Networks Online Equality-constrained Quadratic Programming Global Exponential Convergence Robustness Analysis |
| DOI | 10.1007/s12559-017-9510-4 |
| 文献子类 | Article |
| 英文摘要 | 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. |
| WOS关键词 | SUPPORT VECTOR MACHINE ; MATRIX-INVERSION ; ROBUSTNESS ANALYSIS ; REGRESSION ; EQUATIONS ; DYNAMICS ; MINIMIZATION ; COMPUTATION ; ARM |
| WOS研究方向 | Computer Science ; Neurosciences & Neurology |
| 语种 | 英语 |
| WOS记录号 | WOS:000430190600017 |
| 资助机构 | National Natural Science Foundation of China(61773375 ; Microsoft Collaborative Research Project ; Academy of Finland(298700) ; 61375036 ; 61511130079) |
| 源URL | [http://ir.ia.ac.cn/handle/173211/20441]  |
| 专题 | 自动化研究所_智能感知与计算研究中心 |
| 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 |
| 推荐引用方式 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. |
入库方式： OAI收割
来源：自动化研究所
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