Title :
Entropy Based Evolutionary Search for Feature Selection
Author :
Subbotin, Sergey ; Oleynik, Andrey
Author_Institution :
Dept. of software, Zaporozhye Nat. Tech. Univ., Zaporozhye
Abstract :
The solution of a feature selection problem is considered in this paper. The usage of evolutionary search for this problem is suggested. Entropy based evolutionary search is developed. Experiments and results of usage the proposed methods are presented.
Keywords :
feature extraction; minimum entropy methods; entropy based evolutionary search; feature selection; Automatic control; Automation; Biological cells; Counting circuits; Entropy; Fuzzy logic; Network synthesis; Neural networks; Probability; Process control; Entropy; Evolutionary search; Feature selection;
Conference_Titel :
CAD Systems in Microelectronics, 2007. CADSM '07. 9th International Conference - The Experience of Designing and Applications of
Conference_Location :
Lviv-Polyana
Print_ISBN :
966-533-587-0
DOI :
10.1109/CADSM.2007.4297612
