| 基于RBF网络的光纤荧光海水叶绿素a含量在线监测系统的研究 |
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| 引用本文： | 王玉田,汪翔,金海龙.基于RBF网络的光纤荧光海水叶绿素a含量在线监测系统的研究[J].光学与光电技术,2003,1(5):26-29. |
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| 作者姓名： | 王玉田 汪翔 金海龙 |
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| 作者单位： | 燕山大学电气工程学院,秦皇岛,066004 |
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| 基金项目： | 霍英东教育基金(71051) |
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| 摘 要： | 介绍了能够实现对海水中叶绿素a含量在线监测的光纤荧光系统。系统将荧光技术、光纤技术和基于RBF(Radial Basis Function Neural Network)神经网络的标定方法相结合，建立了用于海水叶绿素a含量在线监测的最佳RBF网络结构，系统具有结构简单，探头无源及高灵敏度等特点。
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| 关 键 词： | RBF网络 荧光技术 光纤技术 RBF神经网络 叶绿素 在线监测 误差函数 光纤探测 |
| 文章编号： | 1672-3392(2003)05-26-04 |
| 收稿时间： | 2003/10/5 |
| 修稿时间： | 2003年10月5日 |
Research on Optical-Fiber Fluorescent Inspecting System for Chlorophyll-a Content in Sea-Water Based on RBF Network |
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| WANG Yu-tian WANG Xiang JIN Hai-long.Research on Optical-Fiber Fluorescent Inspecting System for Chlorophyll-a Content in Sea-Water Based on RBF Network[J].optics&optoelectronic technology,2003,1(5):26-29. |
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| Authors: | WANG Yu-tian WANG Xiang JIN Hai-long |
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| Abstract: | An on-line optical-fiber fluorescence inspecting system for chlorophyll-a in seawater is presented. Fluorescence technology, optical-fiber technology and a calibration method based on RBF(Radial Basis Function Neural Network) neural network are combined, and an optimal RBF network architecture for the on-line inspecting the chlorophyll-a content in sea-water is set up. The system has advantages of simple structure, passive sensor head and high sensitivity. |
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| Keywords: | fluorescence technology optical-fiber technology RBF neural network chlorophyll-a content |
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