| 基于神经网络的植被需水量模型 |
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| 引用本文： | 邱林,宋建娜,陈晓楠,贾珺琳.基于神经网络的植被需水量模型[J].华北水利水电学院学报,2006,27(2):4-6,31. |
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| 作者姓名： | 邱林 宋建娜 陈晓楠 贾珺琳 |
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| 作者单位： | 华北水利水电学院,河南,郑州,450011;西安理工大学水电学院,陕西,西安,710048;山西省晋城市水利勘测设计院,山西,晋城,048000 |
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| 基金项目： | 河南省高校杰出科研创新人才工程项目 |
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| 摘 要： | 分析了传统植被需水量计算方法的不足,建立了基于BP神经网络的植被需水量计算模型.该模型与传统模型相比,不但避免了建立具体数学表达式的不便和参数求解的繁琐,而且有较高的通用性和适用性.实例表明,该模型的计算结果精度高、通用性强,有推广应用的价值.
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| 关 键 词： | 植被需水量 神经网络 生态环境 |
| 文章编号： | 1002-5634（2006）02-0004-03 |
| 收稿时间： | 2005-12-28 |
| 修稿时间： | 2005-12-282006-02-15 |
Study on the Model of Vegetation Water Requirements Based on Neural Network |
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| QIU Lin,SONG Jian-na,CHEN Xiao-nan,JIA Jun-lin.Study on the Model of Vegetation Water Requirements Based on Neural Network[J].Journal of North China Institute of Water Conservancy and Hydroelectric Power,2006,27(2):4-6,31. |
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| Authors: | QIU Lin SONG Jian-na CHEN Xiao-nan JIA Jun-lin |
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| Abstract: | The computing model of traditional vegetation water requirements is introduced. The limitation of the calcalating model of traditional vegetation water requirements is analyzed. The computing model of vegetation water requirements is studied based on BP Neural Network. Compared to the traditional model, the model not only avoids the inconvenience of establishing the concrete mathematical expression and the complexity of the parameter extraction, but can be applied in other specific fields easily. The example shnws that the model is more applicable and precise than the traditional model, and has the value of popularization and application. |
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| Keywords: | vegetation water requirements neural network eco-environment |
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