Cargando…
A combination of ridge and Liu regressions for extreme learning machine
Extreme learning machine (ELM) as a type of feedforward neural network has been widely used to obtain beneficial insights from various disciplines and real-world applications. Despite the advantages like speed and highly adaptability, instability drawbacks arise in case of multicollinearity, and to...
Autores principales: | Yıldırım, Hasan, Özkale, M. Revan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9774081/ https://www.ncbi.nlm.nih.gov/pubmed/36573103 http://dx.doi.org/10.1007/s00500-022-07745-x |
Ejemplares similares
-
Boosting ridge for the extreme learning machine globally optimised for classification and regression problems
por: Peralez-González, Carlos, et al.
Publicado: (2023) -
Theory of ridge regression estimation with applications
por: Saleh, A K Md Ehsanes, et al.
Publicado: (2019) -
Uncertain regression model with autoregressive time series errors
por: Chen, Dan
Publicado: (2021) -
The unit generalized half-normal quantile regression model: formulation, estimation, diagnostics, and numerical applications
por: Mazucheli, Josmar, et al.
Publicado: (2022) -
Globaltest confidence regions and their application to ridge regression
por: Xu, Ningning, et al.
Publicado: (2021)