| 光谱学与光谱分析 |
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| Design and Analysis of Spectral Recognition System Based on Neural Network |
| XIONG Yu-hong1，2,WEN Zhi-yu2,WANG Ming-yan1,XU Shao-ping1, WANG Wei-li1,XIAO Jian1 |
1. Department of Computer Science and Technology, Nanchang University, Nanchang 330031, China
2. College of Optoelectronic Engineering, Chongqing University, Ｃhongqing 400044, China |
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Abstract The technology of spectral recognition is the foundation of qualitative analysis by spectrum. With the technology of pattern recognition developed, the technology of spectral recognition has been a important tool for quick detection in medicine, environment and petrochemical industry etc. Artificial neural network has many good qualities, such as nonlinear mapping, self-adaptive learning, robustness and fault tolerant ability. It is widely applied in signal procesing, knowledge engineering and pattern recognition etc. The present paper takes spectral signal according with Lambert-Beer’ law as object, introduces basic pattern recognition theory of artificial neural network in brief, puts forward spectral recognition method based on multiple features and neural network according to spectral recognition need, makes system design and the basic frame of model, and gives an example for explanation.
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Received: 2005-10-10
Accepted: 2006-02-15
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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,WANG Ming-yan, et al. Design and Analysis of Spectral Recognition System Based on Neural Network[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2007, 27(01): 139-142.
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| URL: |
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https://www.gpxygpfx.com/EN/Y2007/V27/I01/139 |
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