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
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;
Conference_Titel :
Computer Communication Control and Automation (3CA), 2010 International Symposium on
Conference_Location :
Tainan
Print_ISBN :
978-1-4244-5565-2
DOI :
10.1109/3CA.2010.5533652