| 基于遗传算法的人工神经网络模型在冬小麦根系吸水模型中的应用 |
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| 引用本文： | 罗长寿,左强,李保国,王东.基于遗传算法的人工神经网络模型在冬小麦根系吸水模型中的应用[J].土壤通报,2003,34(4):250-252. |
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| 作者姓名： | 罗长寿 左强 李保国 王东 |
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| 作者单位： | 中国农业大学土壤和水科学系,北京,100094 |
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| 基金项目： | "国家重大基础研究发展规划项目"(G1999011709)及"中国-以色列科学与战略研究开发专项资金合作研究项目"资助 |
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| 摘 要： | 基于土壤水分与冠部数据,应用遗传算法优化人工神经网络模型的权值,将获得的冬小麦根长密度分布应用于根系吸水模型中,并进行了水分数值模拟,水分模拟效果整体较好,表明应用该方法可以为根系吸水模型提供准确的根系参数,并且较为方便,这对于根系吸水模型的建立及应用有着重要的意义。
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| 关 键 词： | 人工神经网络 遗传算法 根系吸水模型 根长密度分布 数值模拟 |
| 文章编号： | 0564-3945(2003)04-0250-03 |
| 修稿时间： | 2002年4月22日 |
Application of Artificial Neural Network Based on the Genetic Algorithm in a Root Water Uptake Model of Winter Wheat |
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| LUO Chang-Shou,ZUO Qiang,LI Bao-Guo,WANG Dong.Application of Artificial Neural Network Based on the Genetic Algorithm in a Root Water Uptake Model of Winter Wheat[J].Chinese Journal of Soil Science,2003,34(4):250-252. |
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| Authors: | LUO Chang-Shou ZUO Qiang LI Bao-Guo WANG Dong |
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| Abstract: | Based on the data of soil water content and shoot of winter wheat, a model to estimate root length density distribution was developed through optimizing the weights of neural network by genetic algorithm. A root water uptake model, in which the estimated root length density distribution was used, was applied to simulate soil water content,and the data simulated had good agreement with experimental data. The results showed that the model to estimate root length density distribution could provide relatively accurate measures for root water uptake model,thus this is very important for the construction and application of root water uptake model. |
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| Keywords: | Artificial neural network Genetic algorithm Root water uptake model Root length density distribution Numerical |
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