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基于Elman神经网络的烤烟鲜烟叶含水量模型研究
引用本文:甘露萍,谢守勇.基于Elman神经网络的烤烟鲜烟叶含水量模型研究[J].西南农业学报,2011,24(1).
作者姓名:甘露萍  谢守勇
作者单位:1. 四川农业大学信息与工程技术学院,四川,雅安,625014
2. 西南大学工程技术学院,重庆,400716
基金项目:四川“十一五”作物育种攻关项目(2006YZG-G-28)
摘    要:在Matlab中利用ANN方法建立了鲜烟叶含水量Elman非线性动态预测数学模型,利用计算机视觉技术,选取在改进AHP法中占较大权重综合评判指标叶片宽、面积以及均值特征量,作为网络的输入,克服了用单一指标进行评判的缺陷,通过实验数据对Elman模型进行验证和误差分析,结果表明该含水量模型可对鲜烟叶含水量进行预测,预测精度大于90%,预测结果达到预期目标,在此基础上进行了含水量检测系统软件的开发。

关 键 词:Elman  模型  鲜烟叶  含水量  

Research Based on Elman Nerve Network Model for Water Content of Fresh Tobacco Leaf in Roasting Tobacco
GAN Lu-ping,XIE Shou-yong.Research Based on Elman Nerve Network Model for Water Content of Fresh Tobacco Leaf in Roasting Tobacco[J].Southwest China Journal of Agricultural Sciences,2011,24(1).
Authors:GAN Lu-ping  XIE Shou-yong
Institution:GAN Lu-ping1,XIE Shou-yong2(1.College of Information and Engineering Technology,Sichuan Agricultural University,Sichuan Ya'an 625014,China,2.Department of Engineering and Technology,Southwest University,Chongqing 400716,China)
Abstract:The Elman nonlinear dynamic forecast model for judging water content of the fresh tobacco leaf by ANN method and Matlab soft was built.The width,area and mean value's synthetical judgment indexes that covered big weight in the three-demarcation AHP method were taken as the Elman network's input in computer vision to overcome the shortcoming of the single index.The output conclusion of error analysis in Elman model indicated that the mathematic model could be used as the forecast model for water content.The ...
Keywords:Elman  Model  Fresh tobacco leaf  Water content  
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