A pruning feedforward small-world neural network based on Katz centrality for nonlinear system modeling

Approaching to the biological neural network, small-world neural networks have been demonstrated to improve the generalization performance of artificial neural networks. However, the architecture of small-world neural networks is typically large and predefined. This may cause the problems of overfit...

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Veröffentlicht in:	Neural networks 2020-10, Vol.130, p.269-285
Hauptverfasser:	Li, Wenjing, Chu, Minghui, Qiao, Junfei
Format:	Artikel
Sprache:	eng
Schlagworte:	Katz centrality Nonlinear system modeling Pruning algorithm Small-world neural network
Online-Zugang:	Volltext
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