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Abstract
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Article Information:
Sizing Percentage Prediction Based on Hybrid Intelligence Method
Mu Zhang, Kun Li, Huixin Ttian, Yufeng Jia
Corresponding Author: Mu Zhang
Submitted: April 03, 2012
Accepted: April 17, 2012
Published: August 15, 2012 |
Abstract:
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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.
Key words: Hybrid intelligence method, modeling, neural network, PSO, sizing percentage, ,
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Abstract
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Cite this Reference:
Mu Zhang, Kun Li, Huixin Ttian, Yufeng Jia, . Sizing Percentage Prediction Based on Hybrid Intelligence Method. Research Journal of Applied Sciences, Engineering and Technology, (16): 2868-2873.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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