Red-billed blue magpie optimization for training feedforward neural networks

Abstract The input layer, hidden layer, and output layer constitute the feedforward neural networks (FNNs) with unidirectional propagation and no feedback loop connection. The FNNs exhibit pivotal properties of nonlinear fitting ability, flexible structure, multitasking adaptability, easy implementa...

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Autors principals:	Jinzhong Zhang, Hongkai Li, Gang Zhang, Rui Chen, Tan Zhang, Anqi Jin
Format:	Artigo
Idioma:	Inglês
Publicat:	Nature Portfolio 2025-12-01
Col·lecció:	Scientific Reports
Matèries:	Feedforward neural networks Red-billed blue magpie optimization Connection weights Biases Sample datasets Exploration and exploitation
Accés en línia:	https://doi.org/10.1038/s41598-025-33719-8
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