Estimation of Radial Basis Function Network Centres via Informational Forces

Título: Estimation of Radial Basis Function Network Centres via Informational Forces

Autores: Edilson Sousa Júnior, Airton Freitas, Ricardo Rabelo and Welflen Santos.

Resumo:
The Radial Basis Function Network centres determination is a open problem. In this work, the cluster centres are determined by a proposed gradient algorithm using the information forces acting on each data point. These centres are applied to a Radial Basis Function Network for data classification. A threshold is established based on Information Potential to classify the outliers. Combined, the threshold and the centres determined by information forces show good results in comparison to a similar Network with a k-means clustering algorithm.

Palavras-chave:
Radial Basis Functions Networks, Classification, Clustering, Outliers.

Páginas: 6

Código DOI: 10.21528/CBIC2021-85

Artigo em pdf: CBIC_2021_paper_85.pdf

Arquivo BibTeX: CBIC_2021_85.bib