A Novel Black Widow Optimization Algorithm Based on Lagrange Interpolation Operator for ResNet18

A Novel Black Widow Optimization Algorithm Based on Lagrange Interpolation Operator for ResNet18

Hyper-parameters play a critical role in neural networks; they significantly impact both training effectiveness and overall model performance. Proper hyper-parameter settings can accelerate model convergence and improve generalization. Among various hyper-parameters, the learning rate is particularl...

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Main Authors: Peiyang Wei, Can Hu, Jingyi Hu, Zhibin Li, Wen Qin, Jianhong Gan, Tinghui Chen, Hongping Shu, Mingsheng Shang
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Biomimetics
Subjects:
ResNet18
adaptive learning rate
black widow optimization algorithm
Lagrange interpolation
Online Access:https://www.mdpi.com/2313-7673/10/6/361
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