Title :
Optimal mapping from chromosome space to feature space for solving sequential pattern recognition problems
Author :
Zohdy, M. ; Bouchaffra, D. ; Quinlan, J.
Abstract :
In this paper we present a method for modeling a genetic algorithm for a sequential pattern recognition problem. This genetic algorithm is shown to be useful in obtaining particular solutions; similarities between particular solutions give a general solution. Transition between chromosome space and feature space is done through relating genes to inputs, based on the discrete nature of both spaces
Keywords :
feature extraction; genetic algorithms; chromosome space; discrete nature; feature space; genes; genetic algorithm; optimal mapping; sequential pattern recognition problems; Biological cells; Chromosome mapping; DNA; Data handling; Genetic algorithms; Genetic mutations; Optimization methods; Pattern recognition;
Conference_Titel :
Circuits and Systems, 2001. MWSCAS 2001. Proceedings of the 44th IEEE 2001 Midwest Symposium on
Conference_Location :
Dayton, OH
Print_ISBN :
0-7803-7150-X
DOI :
10.1109/MWSCAS.2001.986242
