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Design and Analysis of a Hybrid GNN-ZNN Model With ...
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由 J Dai 著作2021被引用 27 次 — Due to its fuzzy adaptability, this novel model is called the fuzzy adaptive GNN-ZNN (FA-GNN-ZNN) model for presentation convenience. We prove ...
Design and Analysis of a Hybrid GNN-ZNN Model with ...
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In [24], a fuzzy adaptive ZNN model was presented for solving the quadratic programming problem, which has apparent preponderance compared with the TTZNN model.
Design and Analysis of a Hybrid GNN-ZNN Model with a ...
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由 J Dai 著作2021被引用 27 次 — (1) The FA-GNN-ZNN model with a fuzzy factor is de- signed for solving the matrix inversion problem. Spe- cially, the proposed FA-GNN-ZNN model is a combi-.
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Lin Xiao 0002
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Design and Analysis of a Hybrid GNN-ZNN Model With a Fuzzy Adaptive Factor for Matrix Inversion. IEEE Trans. Ind. Informatics 18(4): 2434-2442 (2022). [j95].
Hybrid GNN-ZNN models for solving linear matrix equations
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Convergence analysis of the novel GNN model shows that the neural state matrix of the GGNN(A,B,D) design converges asymptotically to the solution of the ...
Hybrid GNN-ZNN models for solving linear matrix equations
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2024年10月22日 — Design and Analysis of a Hybrid GNN-ZNN Model with a Fuzzy Adaptive Factor for Matrix Inversion. Article. Jun 2021. Jianhua Dai ...
Yongjun He - Google 学术搜索
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Design and analysis of a hybrid GNN-ZNN model with a fuzzy adaptive factor for matrix inversion. J Dai, Y Chen, L Xiao, L Jia, Y He. IEEE Transactions on ...
Comprehensive design and analysis of time-varying ...
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由 Q Zuo 著作2020被引用 10 次 — Design and Analysis of a Hybrid GNN-ZNN Model with a Fuzzy Adaptive Factor for Matrix Inversion. 2022, IEEE Transactions on Industrial ...
A Fuzzy Adaptive Zeroing Neural Network Model With Event ...
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He, “Design and analysis of a hybrid GNN-ZNN model with a fuzzy adaptive factor for matrix inversion,” IEEE Trans. Ind. Informat., vol. 18, no. 4, pp. 2434 ...
Fixed-time convergence ZNN model for solving rectangular ...
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由 B Zhang 著作2024被引用 6 次 — This paper proposes a novel unified fixed-time ZNN (UFTZNN) model designed to achieve fixed-time convergence and solve both left and right inverse problems ...