Título: A Neural Network Algorithm for Complex Pattern Classification Problems
Autores: Martins, Allan de Medeiros; Dória Neto, Adriao Duarte; Melo, Jorge Dantas
Resumo: This work presents an application of neural networks in pattern classification. A new algorithm for automatic classification of data is presented. That algorithm make use of a competitive neural network to aid the classification process. The algorithm gets a data set D and segment it into clusters. The only a priori information given is a number of auxiliary centers and a threshold distance. The algorithm uses the Mahalanobis metrics to cluster the data and find itself the number of classes.
Código DOI: 10.21528/CBRN2003-053
Artigo em PDF: 6CBRN_053.PDF
Arquivo BibTex: 6CBRN_053.bib