Cargando…
A new elite opposite sparrow search algorithm-based optimized LightGBM approach for fault diagnosis
In this paper, a new fault diagnosis approach based on elite opposite sparrow search algorithm (EOSSA) optimized LightGBM is proposed. It is necessary to extract appropriate features when dealing with high-dimensional data. Since the distribution of the high-dimensional data is not always approximat...
Autores principales: | Fang, Qicheng, Shen, Bo, Xue, Jiankai |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8783959/ https://www.ncbi.nlm.nih.gov/pubmed/35096192 http://dx.doi.org/10.1007/s12652-022-03703-5 |
Ejemplares similares
-
Research on fault diagnosis system for belt conveyor based on internet of things and the LightGBM model
por: Wang, Meng, et al.
Publicado: (2023) -
Random Forest and LightGBM-Based Human Health Check for Medical Device Fault Detection
por: Wang, Weiwei
Publicado: (2022) -
Fault Detection for Wind Turbine Blade Bolts Based on GSG Combined with CS-LightGBM
por: Tang, Mingzhu, et al.
Publicado: (2022) -
Optimized LightGBM Power Fingerprint Identification Based on Entropy Features
por: Lin, Lin, et al.
Publicado: (2022) -
Diagnosis of Diabetes Mellitus Using Gradient Boosting Machine (LightGBM)
por: Rufo, Derara Duba, et al.
Publicado: (2021)