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
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