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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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Glavni autori: Hong Fu, Yutan Li, Duanjun Zhang, Pengcheng Lu, Chao Ma
Format: Artigo
Jezik:Inglês
Izdano: Nature Portfolio 2025-12-01
Serija:Scientific Reports
Teme:
Framed body-in-white
Structural optimization
Back propagation neural network
Sparrow search algorithm
Reinforcement learning
Lightweight design
Online pristup:https://doi.org/10.1038/s41598-025-32605-7
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