Groundwater Depth Prediction Based on Adaptive Neuro-Fuzzy Interference System

ZHOU Wei-bo; LI Na; LIU Lei; DONG Qi-guang

doi:10.13961/j.cnki.stbctb.2014.04.040

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Groundwater Depth Prediction Based on Adaptive Neuro-Fuzzy Interference System

- Groundwater Depth Prediction Based on Adaptive Neuro-Fuzzy Interference System
- Bulletin of Soiland Water Conservation Vol. 33, Issue 4, Pages: 138-140(2014)
- 作者机构：
  
  长安大学环境科学与工程学院,陕西,西安,710054
- 作者简介：
- 基金信息：
- DOI：10.13961/j.cnki.stbctb.2014.04.040
  CLC：
- Published：2014
- 稿件说明：
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ZHOU Wei-bo, LI Na, LIU Lei, et al. Groundwater Depth Prediction Based on Adaptive Neuro-Fuzzy Interference System[J]. Bulletin of Soiland Water Conservation, 2014, 33(4): 138-140.
DOI：

ZHOU Wei-bo, LI Na, LIU Lei, et al. Groundwater Depth Prediction Based on Adaptive Neuro-Fuzzy Interference System[J]. Bulletin of Soiland Water Conservation, 2014, 33(4): 138-140. DOI： 10.13961/j.cnki.stbctb.2014.04.040.

摘要

针对地下水埋深变化影响因素的复杂性、多样性和不确定性

以及影响因子之间复杂的非线性关系

将自适应神经模糊推理系统(adaptive neuro-fuzzy interference system

ANFIS)应用于地下水埋深预测。利用1993-2010年陕西省泾惠渠灌区的灌溉资料对网络进行训练

构建了基于ANFIS的地下水埋深预测模型

并对其进行了检测。结果表明

利用ANFIS对地下水埋深进行短期预测是切实可行的。

Abstract

According to the complexity

diversity and uncertainty of the influence factors on groundwater depth change

and the complicated nonlinear relation between these factors

the adaptive neuro-fuzzy interference system(ANFIS) was put forward for predicting the groundwater depth. By training the ANFIS according to the irrigation materials of Jinghuiqu irrigation district in Shaanxi Province during 1993-2010

the prediction model for groundwater depth was built based on ANFIS. The results showed that this model had high accuracy to forecast groundwater depth and was suitable for groundwater depth short-term prediction.

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references

周维博.人工神经网络理论在井渠结合灌区地下水动态预报中的应用[J].西北水资源与水工程,2003,14(2):5.

陈葆仁,洪再吉.地下水动态及其预报[M].北京:科学出版社,1988.

王新民,崔巍.变权组合预测模型在地下水水位预测中的应用[J].吉林大学学报:地球科学版,2009,39(6):1101-1105.

刘玉邦,梁川.地下水动态水位预测的非线性PLSR方法[J].武汉理工大学学报,2010,32(13):127-128.

肖治宇,陈昌富,季永新.自适应神经-模糊推理系统在水库边坡稳定性评价中的应用[J].水土保持通报,2011,31(5):186-190.

叶遇春,李林. 泾惠渠志[M]. 陕西西安:三秦出版社,1991.

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