Cargando…
An Improved Kernel Based Extreme Learning Machine for Robot Execution Failures
Robot execution failures prediction (classification) in the robot tasks is a difficult learning problem due to partially corrupted or incomplete measurements of data and unsuitable prediction techniques for this prediction problem with little learning samples. Therefore, how to predict the robot exe...
Autores principales: | Li, Bin, Rong, Xuewen, Li, Yibin |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3996967/ https://www.ncbi.nlm.nih.gov/pubmed/24977234 http://dx.doi.org/10.1155/2014/906546 |
Ejemplares similares
-
Alumina Concentration Detection Based on the Kernel Extreme Learning Machine
por: Zhang, Sen, et al.
Publicado: (2017) -
Data‐driven modeling based on kernel extreme learning machine for sugarcane juice clarification
por: Meng, Yanmei, et al.
Publicado: (2019) -
An Enhanced Grey Wolf Optimization Based Feature Selection Wrapped Kernel Extreme Learning Machine for Medical Diagnosis
por: Li, Qiang, et al.
Publicado: (2017) -
A Novel Reformed Reduced Kernel Extreme Learning Machine with RELIEF-F for Classification
por: Liu, Zongying, et al.
Publicado: (2022) -
An Expert Diagnosis System for Parkinson Disease Based on Genetic Algorithm-Wavelet Kernel-Extreme Learning Machine
por: Avci, Derya, et al.
Publicado: (2016)