Learning convex set boundaries via primal-dual neural approximation with application to reachable set computation.
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| Title: | Learning convex set boundaries via primal-dual neural approximation with application to reachable set computation. |
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| Authors: | Chen G; Key Laboratory of Knowledge Automation for Industrial Processes of Ministry of Education, School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China. Electronic address: D202510397@xs.ustb.edu.cn., Shao L; Key Laboratory of Knowledge Automation for Industrial Processes of Ministry of Education, School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China; Shunde Graduate School, University of Science and Technology Beijing, Foshan, 528399, China. Electronic address: lshao@ustb.edu.cn., Zhao F; KINGSEMI Co., Ltd, Shenyang, 110169, China. Electronic address: nyfangyuan@126.com. |
| Source: | Neural networks : the official journal of the International Neural Network Society [Neural Netw] 2026 Aug; Vol. 200, pp. 108810. Date of Electronic Publication: 2026 Mar 05. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Pergamon Press Country of Publication: United States NLM ID: 8805018 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-2782 (Electronic) Linking ISSN: 08936080 NLM ISO Abbreviation: Neural Netw Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 1879-2782 |
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| DOI: | 10.1016/j.neunet.2026.108810 |
