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2012 (Vol. 4, Issue: 16)
Article Information:

Sizing Percentage Prediction Based on Hybrid Intelligence Method

Mu Zhang, Kun Li, Huixin Ttian, Yufeng Jia
Corresponding Author:  Mu Zhang 

Key words:  Hybrid intelligence method, modeling, neural network, PSO, sizing percentage, ,
Vol. 4 , (16): 2868-2873
Submitted Accepted Published
April 03, 2012 April 17, 2012 August 15, 2012
Abstract:

In order to detect the sizing percentage accurately online, a novel hybrid intelligence method is proposed in this study to build the sizing percentage detection model. Firstly, BP (Back propagation) neural network intelligence method is selected to solve the current difficulties of sizing percentage detection online. And then, the hybrid intelligence method is presented to enhance the accuracy of detection model. Experiments demonstrate that the new sizing percentage detection model based on hybrid intelligence method has good performance. And the results of detection are satisfied to the real production process.
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  Cite this Reference:
Mu Zhang, Kun Li, Huixin Ttian, Yufeng Jia, 2012. Sizing Percentage Prediction Based on Hybrid Intelligence Method.  Research Journal of Applied Sciences, Engineering and Technology, 4(16): 2868-2873.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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