作者: Susana M. Vieira , João M. C. Sousa , João R. Caldas Pinto
DOI: 10.1007/11867661_9
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摘要: Automatic classification of objects based on their visual appearance is often performed clustering algorithms, which can be soft computing techniques. One the most used methods fuzzy clustering. However, this method converge to local minima. This problem has been addressed very recently by applying ant colony optimization tackle problem. paper proposed use fuzzy-ant approach derive models. These models are classify marbles appearance; color and vein performed. The modeling compared other namely: fuzzy, neural, simulated annealing, genetic combinations these approaches. Fuzzy-ant presented higher rates than