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  

Research on Optical-Fiber Fluorescent Inspecting System for Chlorophyll-a Content in Sea-Water Based on RBF Network

作　　者：王玉田[1] 汪翔[1] 金海龙[1] 

机构地区：[1]燕山大学电气工程学院,秦皇岛066004

出　　处：《光学与光电技术》2003年第5期26-29,共4页Optics & Optoelectronic Technology

基　　金：霍英东教育基金(71051)

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。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.

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 

分 类 号：TN253[电子电信—物理电子学]