Cascading model based back propagation neural network in enabling precise classification

Author(s):  
Yang Liu ◽  
Weizhe Jing ◽  
Lixiong Xu
2010 ◽  
Vol 450 ◽  
pp. 530-533
Author(s):  
Sei Wo Winger Tseng ◽  
Hung Cheng Tsai

A neural network based approach for female eye glasses fitting suggestion is addressed in this article. The experimental results are analyzed by two stages of back-propagation neural network, which first categorize the Taiwan female faces, and then establish the relationships between adjective image words and female faces with different glasses. A female glasses fitting model was then developed based on these database. With the aid of the model, a glasses store or an electronic store can generate professional fitting opinions to its female customers after a practical ophthalmic dispensing. Although the system is mainly designed for a Taiwan female face, the method can be used to develop for other countries or products.


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