Prediction and optimization of acoustic absorption performance of quasi-Helmholtz acoustic metamaterials based on LightGBM algorithm
Optimization of acoustic metamaterial structures and prediction of acoustic absorption properties have received much attention in various fields. This thesis aims to optimize and predict the acoustic absorption performance of quasi-Helmholtz acoustic metamaterials by using LightGBM algorithm in mach...
Saved in:
Main Authors: | Jianxin Xu, Weikang Mao, Xiaoqian Yu, Bingfei Liu |
---|---|
Format: | Article |
Language: | English |
Published: |
AIP Publishing LLC
2025-01-01
|
Series: | AIP Advances |
Online Access: | http://dx.doi.org/10.1063/5.0246484 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Forecasting Influenza Trends Using Decomposition Technique and LightGBM Optimized by Grey Wolf Optimizer Algorithm
by: Yonghui Duan, et al.
Published: (2024-12-01) -
Intelligent Diagnosis of Rolling Bearing Fault Based on Improved Convolutional Neural Network and LightGBM
by: Yanwei Xu, et al.
Published: (2021-01-01) -
Equivalent method for DFIG wind farms based on modified LightGBM considering voltage deep drop faults
by: Xuecheng Liu, et al.
Published: (2025-03-01) -
Low-frequency attenuation signal absorption performance of thin-film acoustic metamaterials
by: Xu Jingcheng, et al.
Published: (2024-01-01) -
Application of an improved LightGBM hybrid integration model combining gradient harmonization and Jacobian regularization for breast cancer diagnosis
by: Xiaoyan Sun
Published: (2025-01-01)