Title :
A New Pattern Recognition Algorithm Based on Fuzzy Association Degree
Author :
Ding, Shifei ; Shi, Zhongzhi
Author_Institution :
Coll. of Inf. Sci. & Eng., Chinese Acad. of Sci., Beijing
Abstract :
Based on fuzzy association degree, a new pattern recognition algorithm is set up. First, some new concepts of fuzzy association coefficient (FAC), fuzzy association degree (FAD) and fuzzy relative weight (FRW) have been proposed for surveying data information. Second, on the basis of the concepts proposed here, a new pattern recognition algorithm has been set up. At last, the algorithm set up here is applied to surveying data. The results of simulation application show that the recognition algorithm presented here is feasible and effective
Keywords :
fuzzy set theory; pattern recognition; fuzzy association coefficient; fuzzy association degree; fuzzy relative weight; pattern recognition algorithm; Agricultural engineering; Artificial neural networks; Educational institutions; Fuzzy neural networks; Fuzzy sets; History; Information science; Laboratories; Pattern analysis; Pattern recognition;
Conference_Titel :
Neural Networks and Brain, 2005. ICNN&B '05. International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-9422-4
DOI :
10.1109/ICNNB.2005.1614567
