DocumentCode :
3758953
Title :
Research of Tongue Color Recognition Based on BP-ANN with Self-Adaptive Network Structure
Author :
Mingfeng Zhu;Jianqiang Du;Kang Zhang;Yangming He;Chenghua Ding
Author_Institution :
Sch. of Comput. Sci., Jiangxi Univ. of Traditional Chinese Med., Nanchang, China
fYear :
2015
Firstpage :
208
Lastpage :
211
Abstract :
Tongue color recognition is one of important research in objective tongue diagnosis. Since the network structure of traditional BP-ANN can greatly affect the recognition rates of tongue color, a kind of improved BP-ANN with self-adaptive network structure is introduced to solve the problem of tongue color recognition. In this method, according to the recognition rates, the node number of the hidden layer is automatically selected, i. e. the network structure is self-adaptive. As the experimental results show, our improved BP-ANN with self-adaptive network structure is more accurate than the traditional one.
Keywords :
"Tongue","Image color analysis","Artificial neural networks","Training","Neurons","Periodic structures","Transfer functions"
Publisher :
ieee
Conference_Titel :
Information Technology in Medicine and Education (ITME), 2015 7th International Conference on
Type :
conf
DOI :
10.1109/ITME.2015.13
Filename :
7429130
Link To Document :
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