A recurrent multivalued neural network for codebook generation in vector quantization

Authors:
R. Benítez-Rochel;J. Muñoz-Pérez;E. Mérida-Casermeiro
Affiliations:
Departamento de Lenguajes y Ciencias de la Computación, Universidad de Málaga, Málaga;Departamento de Lenguajes y Ciencias de la Computación, Universidad de Málaga, Málaga;Departamento de Matemática Aplicada, Universidad de Málaga, Málaga
Venue:
IWANN'03 Proceedings of the Artificial and natural neural networks 7th international conference on Computational methods in neural modeling - Volume 1
Year:
2003

Citing 3
Cited 0

A mass assignment theory of the probability of fuzzy events

Fuzzy Sets and Systems
Pattern Recognition with Fuzzy Objective Function Algorithms

Pattern Recognition with Fuzzy Objective Function Algorithms
Pattern Classification (2nd Edition)

Pattern Classification (2nd Edition)

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper is concerned with the automated induction of prototypes to represent a database in a way that combines transparency and accuracy. A clustering algorithm will be described which learns fuzzy prototypes from a set of data. The potential of the resulting method will be illustrated by its application to classification problems and comparing its performance with that of previous approaches in the literature.