Mendeley
TY  _  JOUR
ID  -  139408261247404
TI  -  A Method Based on Learning Automata for Adaptation of the Vigilance factor in Fuzzy ARTMAP Network
JO  -  Nashriyyah -i Muhandisi -i Barq va Muhandisi -i Kampyutar -i Iran
JA  -  ES
LA  -  fa
SN  -  16823745
AU  -  Anjidani M.
AU  -  Meybodi M. R.
AD  -  دانشگاه آزاد اسلامی واحد نیشابور
AD  -  دانشگاه صنعتی امیرکبیر
Y1  -  2005
PY  -  2005
VL  -  2
IS  -  
SP  -  80
EP  -  88
KW  -  Neural networksvigilance factorfuzzy ARTMAP network learning automata
DO  -  
N2  -  In this paper, a method based on learning automata for adaptation of  the vigilance factor in Fuzzy ARTMAP network when used for classification problems is proposed. The performance of the proposed algorithm is independent of the initial value for vigilance factor. Fuzzy ARTMAP network in which the vigilance factor adapted using learning automata generates smaller structure with higher recognition rate. To study the performance of the proposed method it has been applied to several problems: circle in square, spirals and square in square problems. The results of experiments show the effectiveness of the proposed method.
UR  - rimag.ir/en/Article/27843
L1  - rimag.ir/en/Article/Download/27843
ER  -  
