| 光谱学与光谱分析 |
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| Model Transfer Method Based on Support Vector Machine |
| XIONG Yu-hong1，2,WEN Zhi-yu1,LIANG Yu-qian1,CHEN Qin1,ZHANG Bo1,LIU Yu1,XIANG Xian-yi1 |
1. College of Optoelectronic Engineering, Chongqing University, Chongqing 400044, China
2. Department of Computer Science and Technology, Nanchang University, Nanchang 330031, China |
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Abstract The model transfer is a basic method to build up universal and comparable performance of spectrometer data by seeking a mathematical transformation relation among different spectrometers. Because of nonlinear effect and small calibration sample set in fact, it is important to solve the problem of model transfer under the condition of nonlinear effect in evidence and small sample set. This paper summarizes support vector machines theory, puts forward the method of model transfer based on support vector machine and piecewise direct standardization, and makes use of computer simulation method, giving a example to explain the method and compare it with artificial neural network in the end.
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Received: 2005-09-08
Accepted: 2006-01-11
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Corresponding Authors:
XIONG Yu-hong
E-mail: xyh341@sohu.com
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| Cite this article: |
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XIONG Yu-hong,WEN Zhi-yu,LIANG Yu-qian, et al. Model Transfer Method Based on Support Vector Machine[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2007, 27(01): 147-150.
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| URL: |
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https://www.gpxygpfx.com/EN/Y2007/V27/I01/147 |
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