Title :
Messy coding schemes for prototype selection
Author :
Goddard, J. ; Martínez, A.E. ; Martínez, F.M. ; Aljama, T.
Author_Institution :
Dept. of Electr. Eng., Univ. Autonoma Metropolitana, Iztapalapa, Mexico
Abstract :
In the present paper, a method is proposed to obtain initial prototypes for nearest neighbour classifiers. The prototypes are obtained by applying an evolutionary program with variable sized chromosomes. Examples are given in the area of speech recognition. The obtained set prototypes can be subsequently used in more general contexts such as a vector quantization codebook or for the centers in a radial basis function network
Keywords :
evolutionary computation; pattern classification; radial basis function networks; speech coding; speech recognition; vector quantisation; evolutionary program; messy coding; nearest neighbour classifier; prototype selection; radial basis function network; speech recognition; variable length chromosome; vector quantization; Biological cells; Clustering algorithms; Computational modeling; Design optimization; Nearest neighbor searches; Neural networks; Prototypes; Radial basis function networks; Speech recognition; Vector quantization;
Conference_Titel :
Circuits and Systems, 1999. 42nd Midwest Symposium on
Conference_Location :
Las Cruces, NM
Print_ISBN :
0-7803-5491-5
DOI :
10.1109/MWSCAS.1999.867254
