Title :
Partial-distortion-weighted fuzzy competitive learning algorithm for vector quantisation
Author :
Zhu, C. ; Li, L.H. ; Wang, T.J. ; He, Z.Y.
Author_Institution :
Dept. of Radio Eng., Southeast Univ., Nanjing
fDate :
3/17/1994 12:00:00 AM
Abstract :
An effective competitive learning algorithm called the partial-distortion-weighted fuzzy competitive learning (PDW-FCL) algorithm is developed for vector quantisation. The PDW-FCL algorithm is able to minimise the likelihood of neuron (codevector) underuse and make good use of every neuron for optimal vector quantiser design
Keywords :
fuzzy set theory; learning (artificial intelligence); vector quantisation; codevector underuse; fuzzy competitive learning algorithm; optimal vector quantiser design; partial-distortion-weighted algorithm; vector quantisation;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:19940357
