An Inverse Neural Controller Based on the Applicability Domain of RBF Network Models

This paper presents a novel methodology of generic nature for controlling nonlinear systems, using inverse radial basis function neural network models, which may combine diverse data originating from various sources. The algorithm starts by applying the particle swarm optimization-based non-symmetri...

Descripción completa

Detalles Bibliográficos
Autores principales: Alexandridis, Alex, Stogiannos, Marios, Papaioannou, Nikolaos, Zois, Elias, Sarimveis, Haralambos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5795819/
https://www.ncbi.nlm.nih.gov/pubmed/29361781
http://dx.doi.org/10.3390/s18010315

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5795819/
https://www.ncbi.nlm.nih.gov/pubmed/29361781
http://dx.doi.org/10.3390/s18010315

Ejemplares similares