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单输出径向基神经网络在烟叶品质预测中的应用
引用本文:杨小勇,彭黔荣,苏红雪,杨再波,蔡元青. 单输出径向基神经网络在烟叶品质预测中的应用[J]. 贵州工业大学学报(自然科学版), 2005, 34(3): 24-27
作者姓名:杨小勇  彭黔荣  苏红雪  杨再波  蔡元青
作者单位:1. 贵州省烟草质量监督检测站,贵州,贵阳,550003
2. 贵阳卷烟厂技术中心,贵州,贵阳,550001
摘    要:
提出了利用三层单输出径向基神经网络预测烟叶品质的方法。首先对由实验得到的常规化学指标和烟叶评价指标数据进行归一化处理;然后通过教师样本数据对网络进行充分的训练,获得适宜的参数矩阵;最后用训练好的网络对检验样本进行预测。

关 键 词:烟叶 常规化化学指标 评吸指标 品质预测 径向基神经网络
文章编号:1009-0193(2004)06-0024-04
修稿时间:2004-05-18

Predicting Quality of Tobacco By Single Output Neural Network Based On Radial Basis Function
YANG Xiao-yong,PENG Qian-rong,SHU Hong-xue,YANG Zhai-bo,CHAI Yuan-Qing. Predicting Quality of Tobacco By Single Output Neural Network Based On Radial Basis Function[J]. Journal of Guizhou University of Technology(Natural Science Edition), 2005, 34(3): 24-27
Authors:YANG Xiao-yong  PENG Qian-rong  SHU Hong-xue  YANG Zhai-bo  CHAI Yuan-Qing
Abstract:
A method to predict the quality of tobacco by three-layer single output Neural Network based on radial basis function is proposed. First standard the general chemical index and sensory quality index get though experiment. Second train the network well though training-samples and obtained the best network parameters vector. Third make use of the successfully trained network to predict the quality of the testing-sample, the study show that the output of the network agree with the fact in some degree. the method provides better result than other reported ones and has promising in tobacco industry.
Keywords:Tobacco leaf  General chemical index  Sensory quality index  Quality predicting  Neural Network based on radial basis function
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