| 基于化学成分的烟叶质量神经网络预测 |
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| 引用本文： | 段俊杰,蒋美红,王岚,胡巍耀,徐安传,资文华,邓国宾,张晓龙.基于化学成分的烟叶质量神经网络预测[J].西南农业学报,2012,25(1):48-53. |
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| 作者姓名： | 段俊杰 蒋美红 王岚 胡巍耀 徐安传 资文华 邓国宾 张晓龙 |
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| 作者单位： | 1. 云南瑞升烟草技术(集团)有限公司,云南昆明,650106
2. 红云烟草(集团)有限公司,云南昆明,650202 |
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| 基金项目： | 云南中烟工业公司资助项目(2008YL07);红云红河烟草(集团)有限公司资助项目(YHH2010YL02,HYHH2010YL04) |
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| 摘 要： | 为给烟叶质量评价提供实用方法和理论依据,本研究基于模糊数学理论和神经网络机器学习理论,从大理红花大金元的主要化学成分和感官评吸结果确定烟叶品质的内在关系入手,通过BP算法建立了基于化学成分的神经网络模型.结果表明,模糊隶属函数结合BP神经网络的方法可以有效、可靠地运用于基于化学成分的烟叶质量感官评价辅助决策中,并可方便地应用于其它方面;还提供了BP神经网络的MATLAB实现程序.
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| 关 键 词： | 神经网络 BP算法 烟叶质量 化学成分 感官评吸 |
Prediction of Tobacco Quality by Artificial Neural Network Based on Tobacco Chemical Constituents |
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| DUAN Jun-jie
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JIANG Mei-hong
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WANG Lan
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HU Wei-yao
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XU An-chuan
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ZI Wen-hua
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DENG Guo-bin
,
ZHANG Xiao-long.Prediction of Tobacco Quality by Artificial Neural Network Based on Tobacco Chemical Constituents[J].Southwest China Journal of Agricultural Sciences,2012,25(1):48-53. |
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| Authors: | DUAN Jun-jie JIANG Mei-hong WANG Lan HU Wei-yao XU An-chuan ZI Wen-hua DENG Guo-bin ZHANG Xiao-long |
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| Institution: | 1 (1.Yunnan Reascend Tobacco Technology(group) Co.Ltd.,Yunnan Kunming 650106, China;2.Hongyun Tobacco(group) Co.Ltd.,Yunnan Kunming 650202,China) |
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| Abstract: | A pattern recognition model for tobacco quality was established by using back-propagation (BP) algorithm in neural network,based on the relationship between tobacco quality with expert experience and the main chemical components in tobacco.The results showed that this algorithm could effectively and reliably be used in the tobacco sensory evaluation based on the main chemical components in tobacco and that it could also effectively be used in other fields.The designed Matlab programming was simply and useful by the result. |
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| Keywords: | Neural network BP algorithm Tobacco quality Chemical components Sensory quality |
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