RBFNN Design Based on Modified Nearest Neighbor Clustering Algorithm for Path Tracking Control

Radial basis function neural networks are a widely used type of artificial neural network. The number and centers of basis functions directly affect the accuracy and speed of radial basis function neural networks. Many studies use supervised learning algorithms to obtain these parameters, but this l...

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Detalles Bibliográficos
Autores principales: Zheng, Dongxi, Jung, Wonsuk, Kim, Sunghoon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8703772/
https://www.ncbi.nlm.nih.gov/pubmed/34960441
http://dx.doi.org/10.3390/s21248349

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8703772/
https://www.ncbi.nlm.nih.gov/pubmed/34960441
http://dx.doi.org/10.3390/s21248349

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