DocumentCode
2348741
Title
A Mixture of Experts with Two-Stage Adaptive Fuzzy c-means Gate
Author
Jin Jian ; Jin Long
Author_Institution
Sch. of Inf. Sci. & Technol., East China Normal Univ., Shanghai, China
fYear
2011
fDate
15-19 April 2011
Firstpage
1319
Lastpage
1323
Abstract
A mixture of experts with a two-stage adaptive FCMef (2-AFCMef) gate is presented to overcome problems of equal-sized divide and conquer and its efficiency. In 2-AFCMef algorithm, a descending ordered series of indexes of effectiveness factor is applied in turn for trying, so that the maximal index can be achieved while any cluster does not disappear. The result of traditional fuzzy c-means clustering algorithm, instead of blindly and randomly searching for many times, is pre-treated as the initial condition of FCMef algorithm. The new method is applied to the field typhoon tracks prediction in South China Sea. Results show great improvement by more than 10% compared to that of the traditional method under the same conditions.
Keywords
divide and conquer methods; fuzzy neural nets; fuzzy set theory; geophysics computing; pattern clustering; storms; 2-AFCMef algorithm; South China Sea; divide and conquer; field typhoon tracks prediction; mixture of experts; traditional fuzzy c-means clustering algorithm; two-stage adaptive fuzzy c-means gate; Clustering algorithms; Equations; Indexes; Logic gates; Mathematical model; Testing; Training;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Sciences and Optimization (CSO), 2011 Fourth International Joint Conference on
Conference_Location
Yunnan
Print_ISBN
978-1-4244-9712-6
Electronic_ISBN
978-0-7695-4335-2
Type
conf
DOI
10.1109/CSO.2011.37
Filename
5957894
Link To Document