Kernel Mixture Correntropy Conjugate Gradient Algorithm for Time Series Prediction

Kernel adaptive filtering (KAF) is an effective nonlinear learning algorithm, which has been widely used in time series prediction. The traditional KAF is based on the stochastic gradient descent (SGD) method, which has slow convergence speed and low filtering accuracy. Hence, a kernel conjugate gra...

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Detalles Bibliográficos
Autores principales: Xue, Nan, Luo, Xiong, Gao, Yang, Wang, Weiping, Wang, Long, Huang, Chao, Zhao, Wenbing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7515314/
https://www.ncbi.nlm.nih.gov/pubmed/33267498
http://dx.doi.org/10.3390/e21080785

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7515314/
https://www.ncbi.nlm.nih.gov/pubmed/33267498
http://dx.doi.org/10.3390/e21080785

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