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For: Sun M, Zhang Y, Wu Y, He X. On a Finitely Activated Terminal RNN Approach to Time-Variant Problem Solving. IEEE Trans Neural Netw Learn Syst 2022;33:7289-7302. [PMID: 34106866 DOI: 10.1109/tnnls.2021.3084740] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Number Cited by Other Article(s)
1
Sun M, Li X, Zhong G. Semi-global fixed/predefined-time RNN models with comprehensive comparisons for time-variant neural computing. Neural Comput Appl 2022. [DOI: 10.1007/s00521-022-07820-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
2
Qiu B, Li XD. Jerk-layer repetitive motion and direction control scheme of redundant robot resolved via new discretized zeroing neural network model. Neurocomputing 2022. [DOI: 10.1016/j.neucom.2022.09.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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