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eNauka >  Results >  Design and analysis of recurrent neural network models with non-linear activation functions for solving time-varying quadratic programming problems
Title: Design and analysis of recurrent neural network models with non-linear activation functions for solving time-varying quadratic programming problems
Authors: Zhang, Xiaoyan; Chen, Liangming; Li, Shuai; Stanimirovic, Predrag S  ; Zhang, Jiliang; Jin, Long
Issue Date: 2021
Publication: CAAI TRANSACTIONS ON INTELLIGENCE TECHNOLOGY
ISSN: 2468-6557 CAAI Transactions on Intelligence Technology Search Idenfier
Type: Article
Collation: 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
Project: 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]
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Metadata source: (Preuzeto iz Nasi u WoS)
M-category: 
21M21

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