Design and Analysis of a Hybrid GNN-ZNN Model With a Fuzzy Adaptive Factor for Matrix Inversion

Motivated from the convergence capability achieved by gradient neural network (GNN) and zeroing neural network (ZNN) for matrix inversion, in this article, a novel hybrid GNN-ZNN (H-GNN-ZNN) model is proposed by introducing a fuzzy adaptive control strategy to generate a fuzzy adaptive factor that c...

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Veröffentlicht in:	IEEE transactions on industrial informatics 2022-04, Vol.18 (4), p.2434-2442
Hauptverfasser:	Dai, Jianhua, Chen, Yuanmeng, Xiao, Lin, Jia, Lei, He, Yongjun
Format:	Artikel
Sprache:	eng
Schlagworte:	Adaptation models Adaptive control Adaptive fuzzy control Adaptive systems Convergence Fuzzy control hybrid GNN-ZNN model Informatics Lyapunov theory Mathematical model matrix inverse Neural networks
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