DocumentCode :
2487878
Title :
Parameters modeling for a modified mixture of experts
Author :
Jin, Jian ; Huang, Guo-Xing ; Ding, Jianguo ; Hu, Yong-Tao
Author_Institution :
Sch. of Inf. Sci., East China Normal Univ., Shanghai
fYear :
2008
fDate :
25-27 June 2008
Firstpage :
4024
Lastpage :
4029
Abstract :
This investigation was performed to see the regularity of parameters in the modified mixture of experts (MoE) to direct parameter selection in real applications. The experiment was performed on the mean of monthly precipitation in May from 1956a through 2004a in a Chinese region. We got stable parameter combinations through testing on various combinations of parameters in various value ranges, and made statistics on the parameters in the stable combinations. The results showed that all the three parameters follow certain laws and suggest their importance. The relationship between the fuzzy weighting exponent and the value ranges of the cluster number and the index of the effectiveness factor are linear. It is of guiding significance to parameter selection in MoE systems.
Keywords :
expert systems; modelling; direct parameter selection; effectiveness factor; fuzzy weighting exponent; mixture of experts systems; parameters modeling; Automation; Information science; Information security; Intelligent control; Neural networks; Partial response channels; Pattern classification; Software engineering; Statistical analysis; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-2113-8
Electronic_ISBN :
978-1-4244-2114-5
Type :
conf
DOI :
10.1109/WCICA.2008.4593572
Filename :
4593572
Link To Document :
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