Structural optimization of framed automotive body-in-white using back propagation neural network optimized based on the sparrow search algorithm

Abstract This study develops an enhanced surrogate modeling method integrating back propagation neural network (BPNN) with an improved sparrow search algorithm (SSA) reinforced by reinforcement learning (ISSA-RL). The SSA algorithm is substantially modified through Tent chaotic mapping for populatio...

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Автори:	Hong Fu, Yutan Li, Duanjun Zhang, Pengcheng Lu, Chao Ma
Формат:	Artigo
Мова:	Inglês
Опубліковано:	Nature Portfolio 2025-12-01
Серія:	Scientific Reports
Предмети:	Framed body-in-white Structural optimization Back propagation neural network Sparrow search algorithm Reinforcement learning Lightweight design
Онлайн доступ:	https://doi.org/10.1038/s41598-025-32605-7
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