| 坡面产流模式的神经网络模拟 |
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| 引用本文： | 王协康,方铎.坡面产流模式的神经网络模拟[J].水动力学研究与进展(A辑),2004,19(2):202-206. |
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| 作者姓名： | 王协康 方铎 |
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| 作者单位： | 四川大学高速水力学国家重点实验室,四川成都,610065 |
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| 基金项目： | 国家自然科学基金资助项目(40025103) |
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| 摘 要： | 坡面产流是土壤本身特性与外界影响因素相互作用的结果，它们之间具有明显的非线性输入输出关系。在分析坡面产流和神经网络模型具有某些相似的基础上，利用径流站观测资料，建立了小流域坡面产流量的三层前向网络模型(BP算法)，并显示了具有较好的模拟预测效果。
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| 关 键 词： | 坡面产流 人工神经网络 BP算法 径流站观测 水动力学 产流模式 |
| 文章编号： | 1000-4874(2004)02-0202-05 |
Neural network modeling of characteristics of overland flow |
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| WANG Xie-kang,FANG Duo Chengdu ,China.Neural network modeling of characteristics of overland flow[J].Journal of Hydrodynamics,2004,19(2):202-206. |
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| Authors: | WANG Xie-kang FANG Duo Chengdu China |
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| Affiliation: | WANG Xie-kang,FANG Duo Chengdu 610065,China) |
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| Abstract: | Artificial neural network (ANN) is a mathematical tool which is capable of modeling complex nonlinear relationship between input and output data. The overland flow is derived from interactions between the characteristics of soil and external factors (including natural and artifical factors); there are obviously nonlinear relationships among them. After having analyzed the simularity between the overland flow and the artificial neural networks model, we provide the input-output simulation and forecast of the overland flow based on the three-layer feed-forward ANN model according to observation data. The analysis of the relationship between simulation and observation shows that the results are effective. |
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| Keywords: | artificial neural network overland flow back-propagation algorithm |
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