Results
eNauka >
Rezultati >
Design and analysis of recurrent neural network models with non-linear activation functions for solving time-varying quadratic programming problems
| Naziv: | Design and analysis of recurrent neural network models with non-linear activation functions for solving time-varying quadratic programming problems | Autori: | Zhang, Xiaoyan; Chen, Liangming; Li, Shuai; Stanimirovic, Predrag S |
Godina: | 2021 | Publikacija: | CAAI TRANSACTIONS ON INTELLIGENCE TECHNOLOGY | ISSN: | 2468-6557 CAAI Transactions on Intelligence Technology Pretraži identifikator |
Tip rezultata: | Naučni članak | Kolacija: | vol. 6 br. 4 str. 394-404 | DOI: | 10.1049/cit2.12019 | WoS-ID: | 000640264400001 | Scopus-ID: | 2-s2.0-85102419406 | URI: | https://enauka.gov.rs/handle/123456789/799108 | Projekat: | National Key Research and Development Program of China [2017YFE0118900] Huawei Mindspore Academic Award Fund of Chinese Association of Artificial Intelligence [CAAIXSJLJJ-2020-009A] Natural Science Foundation of Qinghai Province, China [2020-ZJ-903] Na |
Izvor metapodataka: | (Preuzeto iz Nasi u WoS) | M-kategorija: | 21M21 - Vodeći međunarodni časopis kategorije M21 |
Items in eNauka are protected by copyright, with all rights reserved, unless otherwise indicated.