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For: Zhang Y, Li Z, Guo D, Li W, Chen P. Z-type and G-type models for time-varying inverse square root (TVISR) solving. Soft comput 2013;17:2021-32. [DOI: 10.1007/s00500-013-1124-5] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Number Cited by Other Article(s)
1
Li J, Sun Y, Sun Z, Li F, Jin L. Noise-tolerant Z-type neural dynamics for online solving time-varying inverse square root problems: A control-based approach. Neurocomputing 2020. [DOI: 10.1016/j.neucom.2019.11.035] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
2
A new fallback beetle antennae search algorithm for path planning of mobile robots with collision-free capability. Soft comput 2019. [DOI: 10.1007/s00500-019-04067-3] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
3
Xiao L. A finite-time convergent Zhang neural network and its application to real-time matrix square root finding. Neural Comput Appl 2017. [DOI: 10.1007/s00521-017-3010-z] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
4
Infinitely many Zhang functions resulting in various ZNN models for time-varying matrix inversion with link to Drazin inverse. INFORM PROCESS LETT 2015. [DOI: 10.1016/j.ipl.2015.03.007] [Citation(s) in RCA: 37] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
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