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概率神经网络在烤烟产地分类中的应用
引用本文:何琴,高建华,刘伟.概率神经网络在烤烟产地分类中的应用[J].安徽农业大学学报,2005,32(4):534-537.
作者姓名:何琴  高建华  刘伟
作者单位:郑州大学化学系 郑州450052 (何琴,高建华),郑州大学生物工程系 郑州450052(刘伟)
基金项目:河南省教委自然科学基金
摘    要:利用基于统计思想和Bayes分类规则的概率神经网络的基本网络模型预测烤烟产地.网络以烤烟的主要化学成分测试数据作为输入,烤烟产地作为输出,对1995年贵州、湖南、山东、河南4省的烤烟进行产地预测.结果表明,概率神经网络能够准确地预测烤烟的产地.

关 键 词:概率神经网络  烤烟产地  化学成分
文章编号:1672-352X(2005)04-0534-04
收稿时间:2004-05-11
修稿时间:2004年5月11日

Application of Probabilistic Neural Network to Classification of Producing Areas of Flue-cured Tobaccos
HE Qin,GAO Jian-hu,LIU Wei.Application of Probabilistic Neural Network to Classification of Producing Areas of Flue-cured Tobaccos[J].Journal of Anhui Agricultural University,2005,32(4):534-537.
Authors:HE Qin  GAO Jian-hu  LIU Wei
Institution:1. Department of Chemistry, Zhengzhou University, Zhengzhou 450052; 2. Department of Biological Engineering, Zhengzhou University, Zhengzhou 450052
Abstract:Based on probability statistic theory and Bayes classification rule,probabilistic neural network model was proposed and was applied to classify the producing areas of the fluecured tobaccos.The inputs of PNN were the main chemical compositions of fluecured tobaccos,and the outputs were the codes of the producing areas of the fluecured tobaccos from Guizhou Province and Hunan Province,Shandong Province,Henan Province.The results show that PNN can classify the producing area exactly.
Keywords:probabilistic neural network  producing area of fluecured tobaccos  chemical compositions
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