| 预测植物瞬态液流的BP神经网络模型 |
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| 引用本文： | 朱建刚,余新晓,陈丽华. 预测植物瞬态液流的BP神经网络模型[J]. 林业科学, 2010, 46(1) |
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| 作者姓名： | 朱建刚 余新晓 陈丽华 |
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| 作者单位： | 北京林业大学水土保持与荒漠化防治教育部重点实验室,北京,100083 |
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| 基金项目： | 北京市科技计划课题(D0706007040191);;北京市科委重大项目(D0706001000091);;国家“十一五”科技支撑计划项目(2006BAD03A0201)资助 |
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| 摘 要： | 对于植物体内水分传输机制正确的数学解释是多年来植物生理学、生态学、森林水文学等领域亟待解决的重大问题.Van den Honert(1948)最先提出了一个简单的用欧姆定律(Ohm's law)进行植物水分传输机制的模拟模型,建立起水流和电流的相似性,为分析土壤-植物-大气连续统一体(soilplant-atmosphere continuum,简称SPAC)提供了一个简明思路和有力工具.
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| 关 键 词： | 瞬态液流 BP神经网络 模型 预测 |
A BP Neural Network Model for Forecasting Transient Sap Flow |
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| Zhu Jiangang,Yu Xinxiao,Chen Lihua. A BP Neural Network Model for Forecasting Transient Sap Flow[J]. Scientia Silvae Sinicae, 2010, 46(1) |
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| Authors: | Zhu Jiangang Yu Xinxiao Chen Lihua |
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| Affiliation: | Key Laboratory of Soil & Water Conservation and Desertification Combating of Ministry of Education/a>;Beijing Forestry University Beijing 100083 |
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| Abstract: | The increasingly mature nonlinear technique can facilitate accurate forecasting of transient sap flow process of plant.In this paper,the dominated tree species,Pinus tabulaeformis and Platycladus orientalis in Beijing mountainous area were chosen for study.Their monitoring data range from June 18 th to September 9 th 2007 was derived to form the 1 985 sets of sample respectively.BP (back propagation) neural network models were established according to the theory of automaton network of discrete dynamic syst... |
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| Keywords: | transient sap flow BP neural networks models forecast |
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