Title :
Feature selection based on bacteria foraging intelligence
Author :
Oleynik, Alexey ; Subbotin, Sergey
Author_Institution :
Dept. of Software, Zaporozhye Nat. Tech. Univ., Zaporozhye, Ukraine
Abstract :
The problem of automation of feature selection problem solving is solved. The bacteria foraging optimization is considered. The method of feature selection based on the bacteria foraging optimization is proposed.
Keywords :
artificial intelligence; optimisation; pattern recognition; bacteria foraging intelligence; bacteria foraging optimization; feature selection problem; Ant colony optimization; Artificial intelligence; Automation; Biological system modeling; Clocks; Microorganisms; Optimization methods; Particle swarm optimization; Problem-solving; Spinning; Bacteria Foraging Optimization; Feature Selection; Sample; Swarm Intelligence;
Conference_Titel :
CAD Systems in Microelectronics, 2009. CADSM 2009. 10th International Conference - The Experience of Designing and Application of
Conference_Location :
Lviv-Polyana
Print_ISBN :
978-966-2191-05-9
