Title :
Design of multi-sorts classifier based on general ant colony optimization
Author :
Zhang, Ying ; Chen, Xuebo ; Chu, Chen
Author_Institution :
Sch. of Electron. & Inf. Eng., Liaoning Univ. of Sci. & Technol., Anshan, China
Abstract :
On the base of General Ant Colony Optimization, this paper proposed a new design method for multi-sorts classifier for the sorts being known. This approach is optimal compared with other methods, and its recognition rate is high and can be used widely in practice.
Keywords :
design; optimisation; pattern classification; ant colony optimization; design; multi-sorts classifier; Ant colony optimization; Automation; Design methodology; Educational institutions; Electronic mail; Intelligent control; Optimization; Ant Colony Optimization; classifier; template matching approach;
Conference_Titel :
Intelligent Control and Automation (WCICA), 2011 9th World Congress on
Conference_Location :
Taipei
Print_ISBN :
978-1-61284-698-9
DOI :
10.1109/WCICA.2011.5970538
