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运用神经网络评价水淹和未水淹条件下灰化苔草光合特性的变化
引用本文:杨东,黎明,李伟,刘幼平,温华军,李鹏飞.运用神经网络评价水淹和未水淹条件下灰化苔草光合特性的变化[J].华中农业大学学报,2007,26(4):560-564.
作者姓名:杨东  黎明  李伟  刘幼平  温华军  李鹏飞
作者单位:1. 中国科学院武汉植物园,武汉,430074;中国科学院研究生院,北京,100039
2. 中国科学院武汉植物园,武汉,430074
3. 湖北石首麋鹿国家级自然保护区,石首,434401
基金项目:湖北省自然科学基金杰出青年人才项目
摘    要:在天鹅洲湿地,原位测定了在水淹及未水淹条件下灰化苔草(Carex cinerascens Kükenth.)的光合特征,利用神经网络对2种条件下灰化苔草的光合特征进行了研究,全面评价了不同条件下灰化苔草光合速率对环境因子响应程度。结果表明:水淹导致灰化苔草光合速率下降。通过神经网络,可以很好地预测灰化苔草光合速率的响应,水淹和未水淹2种条件下,气孔导度(gs),蒸腾速率(E),气温(Ta),叶温(Tl)和外界水分含量(Ha)均表现出极大的差异。

关 键 词:人工神经网络  光合作用  径向基函数网络
文章编号:1000-2421(2007)04-0560-05
修稿时间:2006-10-28

Modeling the Photosynthesis of Carex cinerascens Kükenth. in the Flooded and Non-flooded Conditions through Neural Network
YANG Dong,LI Ming,LI Wei,LIU You-ping,WEN Hua-jun,LI Peng-fei.Modeling the Photosynthesis of Carex cinerascens Kükenth. in the Flooded and Non-flooded Conditions through Neural Network[J].Journal of Huazhong Agricultural University,2007,26(4):560-564.
Authors:YANG Dong  LI Ming  LI Wei  LIU You-ping  WEN Hua-jun  LI Peng-fei
Abstract:In situ measurement of photosynthesis characteristics for Carex cinerascens in the flooded and non-flooded conditions were carried out in Swan Islet Wetland Reserve.Deficiency of net photosynthetic rate was found in flooded C.cinerascens compared with non-flooded ones.Two radial basis function(RBF) neural network model with high prediction accuracy were developed to evaluate the influences of environmental variables on photosynthesis of C.cinerascens for better learning the photosynthesis mechanism of C.cinerascens under different condition.The results indicated that the neural network is suitable for predicting the responses of photosynthesis rate.In the flooded and non-flooded conditions photosynthetic responses of C.cinerascens to the variation of CO2 are almost the same.However,the changes of stomatal conductance(Gs),transpiration rate(E),air temperature(Ta),leaf temperature(Tl) and ambient H2O concentration(Ha) have different impacts on the photosynthesis of C.cinerascens.
Keywords:ANN  photosynthesis  radial basis function
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