荧光光谱结合概率神经网络用于无醇啤酒的识别

魏柏林; 陈国庆; 徐建才; 闫冠峰; 马超群; 朱拓; 高淑梅

doi:10.3969/j.issn.1001-3806.2010.06.020

荧光光谱结合概率神经网络用于无醇啤酒的识别

1.
江南大学, 理学院, 无锡, 214122

作者简介: 魏柏林(1985- ),男,硕士研究生,主要从事荧光光谱检测方面的研究..

通讯作者: 陈国庆, cgq2098@163.com ;

基金项目:
江苏省高校科研成果产业化推进工程资助项目(JH08-18);江苏省研究生培养创新工程资助项目(CX08B-088Z);江苏省自然科学基金资助项目(BK2009066);教育部高校博士学科点专项科研基金资助项目(200802950005)
中图分类号: O657.3

Recognition of alcohol-free beer by fluorescent spectroscopy and probabilistic neural network

1.
School of Science, Jiangnan University, Wuxi 214122, China

Corresponding author: CHEN Guo-qing, cgq2098@163.com ;

CLC number: O657.3

摘要: 为了快速、准确地识别无醇啤酒和普通啤酒,采用荧光光谱结合概率神经网络的方法,建立了识别无醇啤酒的模型。实验中发现无醇啤酒和普通啤酒在紫外-可见光激发下,都能产生较强荧光,测得无醇啤酒荧光峰在420nm～620nm之间,荧光峰值波长为490nm左右。将小波变换处理荧光光谱得到的低频系数作为网络数据,训练、建立了概率神经网络,并对60个啤酒样本进行了识别,识别率达到了98.33%。该研究结果为无醇啤酒和普通啤酒识别提供了一种新方法。
- 光谱学 /
- 无醇啤酒 /
- 小波变换 /
- 概率神经网络 /
- 分类识别
Abstract: In order to identify alcohol-free beer and ordinary beer quickly and accurately,a recognition model of the alcohol-free beer was established,which was based on fluorescent spectroscopy and probabilistic neural network.It was found experimentally that both alcohol-free beer and ordinary beer excited by ultraviolet-visible light could generate strong fluorescence. The fluorescent spectrum for alcohol-free beer is within a range from 420nm to 620nm,its peak wavelength of the fluorescence is about 490nm.The approximate coefficients,obtained by wavelet transform,were used as the network data,and a probabilistic neural network was trained and constructed.The trained probabilistic neural network was employed to recognize sixty beer samples,and the recognition rate was up to 98.33%.The whole research outcomes will provide a new method for recognizing alcohol-free beer.
- spectroscopy /
- alcohol-free beer /
- wavelet transform /
- probabilistic neural network /
- classification and recognition

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荧光光谱结合概率神经网络用于无醇啤酒的识别

作者简介: 魏柏林(1985- ),男,硕士研究生,主要从事荧光光谱检测方面的研究..

通讯作者: 陈国庆, cgq2098@163.com ;

Recognition of alcohol-free beer by fluorescent spectroscopy and probabilistic neural network

Corresponding author: CHEN Guo-qing, cgq2098@163.com ;

计量

荧光光谱结合概率神经网络用于无醇啤酒的识别

通讯作者: 陈国庆, cgq2098@163.com;

作者简介: 魏柏林(1985- ),男,硕士研究生,主要从事荧光光谱检测方面的研究.

English Abstract

Recognition of alcohol-free beer by fluorescent spectroscopy and probabilistic neural network

Corresponding author: CHEN Guo-qing, cgq2098@163.com

全文HTML

目录

留言板

荧光光谱结合概率神经网络用于无醇啤酒的识别

作者简介: 魏柏林(1985- ),男,硕士研究生,主要从事荧光光谱检测方面的研究..

通讯作者: 陈国庆, cgq2098@163.com ;

Recognition of alcohol-free beer by fluorescent spectroscopy and probabilistic neural network

Corresponding author: CHEN Guo-qing, cgq2098@163.com ;

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荧光光谱结合概率神经网络用于无醇啤酒的识别

通讯作者: 陈国庆, cgq2098@163.com;

作者简介: 魏柏林(1985- ),男,硕士研究生,主要从事荧光光谱检测方面的研究.

English Abstract

Recognition of alcohol-free beer by fluorescent spectroscopy and probabilistic neural network

Corresponding author: CHEN Guo-qing, cgq2098@163.com

全文HTML

目录