Cargando…
Cell Group Recognition Method Based on Adaptive Mutation PSO-SVM
The increased volume and complexity of flow cytometry (FCM) data resulting from the increased throughput greatly boosts the demand for reliable statistical methods for the analysis of multidimensional data. The Support Vector Machines (SVM) model can be used for classification recognition. However,...
Autores principales: | Wang, Yue, Meng, Xiaochen, Zhu, Lianqing |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6162506/ https://www.ncbi.nlm.nih.gov/pubmed/30213126 http://dx.doi.org/10.3390/cells7090135 |
Ejemplares similares
-
Percussion and PSO-SVM-Based Damage Detection for Refractory Materials
por: Yang, Dan, et al.
Publicado: (2023) -
A Modular Spectrum Sensing System Based on PSO-SVM
por: Cai, Zhuoran, et al.
Publicado: (2012) -
Rolling Bearing Fault Diagnosis Based on VMD-MPE and PSO-SVM
por: Ye, Maoyou, et al.
Publicado: (2021) -
PSO-SVM-Based Online Locomotion Mode Identification for Rehabilitation Robotic Exoskeletons
por: Long, Yi, et al.
Publicado: (2016) -
Hybrid PSO–SVM algorithm for Covid-19 screening and quantification
por: Sheela, M. Sahaya, et al.
Publicado: (2022)