DocumentCode
3322830
Title
The statistical validation for article neural network
Author
Tsai, Cheng-Yueh ; Wang, Yi-Sheng ; Hsu, Chih-Hung ; Ou, Wei-Ming
Author_Institution
Dept. of Marketing & Logistics Manage., Far East Univ., Tainan, Taiwan
Volume
2
fYear
2010
fDate
5-7 May 2010
Firstpage
121
Lastpage
124
Abstract
The neural network is popular and mature tools in many scopes. However, the interact effect of artificial neural network (ANN) are not clearly. In this study, the hand gesture recognition system (HGRS) that has been developed by artificial neural network was been tested for discussing the relationship of parameters. The study selects four parameters: the number of neurons lays features and learn rates. The conclusion is that the number of neurons and features are significantly affected the performances of HGRS. The details of their discussion are in context.
Keywords
gesture recognition; neural nets; article neural network; hand gesture recognition system; statistical validation; Artificial neural networks; Biological neural networks; Computer network management; Encoding; Engineering management; Logistics; Marketing management; Neural networks; Neurons; Technology management; ANN; ANOVA; Hand gesture system; Statical validation;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Communication Control and Automation (3CA), 2010 International Symposium on
Conference_Location
Tainan
Print_ISBN
978-1-4244-5565-2
Type
conf
DOI
10.1109/3CA.2010.5533652
Filename
5533652
Link To Document