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- W2995997745 endingPage "418" @default.
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- W2995997745 abstract "By solving the idempotent matrix equation Y2=Y and using the zeroing neural network model, an indirect numerical solution for the Yang-Baxter-like matrix equation is established. By defining the error function and using the zeroing neural network, a direct method is suggested for solving the time-invariant and time-varying Yang-Baxter-like matrix equations. The asymptotic convergence and the fixed-time convergence are discussed. Four numerical examples are offered to illustrate the efficacy of the suggested methods." @default.
- W2995997745 created "2019-12-26" @default.
- W2995997745 creator A5013794939 @default.
- W2995997745 creator A5075066084 @default.
- W2995997745 date "2020-03-01" @default.
- W2995997745 modified "2023-09-25" @default.
- W2995997745 title "Zeroing neural network methods for solving the Yang-Baxter-like matrix equation" @default.
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- W2995997745 doi "https://doi.org/10.1016/j.neucom.2019.11.101" @default.
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