|
|||||
|
|
| 三江平原井灌水稻区地下水动态变化规律的小波神经网络分析 | |
| 引用本文： | 刘东,付强. 三江平原井灌水稻区地下水动态变化规律的小波神经网络分析[J]. 灌溉排水学报, 2008, 27(3) |
| 作者姓名： | 刘东 付强 |
| 作者单位： | 东北农业大学水利与建筑学院,哈尔滨,150030;东北农业大学水利与建筑学院,哈尔滨,150030 |
| 摘 要： | 以853农场为例,利用小波分析的多分辨率功能和人工神经网络的非线性逼近功能,建立了基于小波变换和BP神经网络的853农场地下水埋深动态预测小波神经网络模型,对地下水动态变化规律进行分析,精度检验及对比分析结果表明,模型拟合和预测精度均较高。预测结果表明,853农场未来几年内地下水位会持续下降,年平均降幅为0.66 m左右,因此当地应加强地下水的科学管理。该模型揭示了区域地下水动态变化规律,为853农场乃至三江平原井灌区地下水资源的可持续利用提供了科学依据。 |
| 关 键 词： | 三江平原 井灌水稻 地下水 小波神经网络 |
Dynamic Variation Regularities Analysis of Groundwater in Well Irrigation Paddy in Sanjiang Plain Based on Wavelet Neural Network |
|
| LIU Dong,FU Qiang. Dynamic Variation Regularities Analysis of Groundwater in Well Irrigation Paddy in Sanjiang Plain Based on Wavelet Neural Network[J]. Journal of Irrigation and Drainage, 2008, 27(3) | |
| Authors: | LIU Dong FU Qiang |
| Affiliation: | LIU Dong,FU Qiang(School of Water Conservancy & Civil Engineering,Northeast Agricultural University,Harbin 150030,China) |
| Abstract: | Taking 853 Farm as example,through applying wavelet analysis's multi-resolution function and artificial neural network's nonlinear approaching function,built up the monthly groundwater embedment depth dynamic prediction model of Farm 853 based on wavelet transform and BP neural network.Through using this model,the groundwater dynamic variation regularities were analyzed.The results of precision test and comparative analysis showed that the precisions of this model were high in fitting and prediction.The res... |
| Keywords: | Sanjiang Plain well irrigation paddy groundwater wavelet neural network |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |