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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...
Autores principales: | Zheng, Dongxi, Jung, Wonsuk, Kim, Sunghoon |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
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 |
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