Paper Title:
Fuzzy Neural Network for Groundwater Level Prediction
  Abstract

In this paper, prediction system is developed based on a fuzzy neural network(FNN) by using the past groundwater level data to discover fuzzy rules and make future predictions. The learning algorithm is implemented to the past historical data. Compared to other predictors, our results show that the FNN predictor can reduce significantly both relative mean errors and root mean squared errors of predicted groundwater level. It is demonstrated that FNN performs well for groundwater data analysis and its feasibility of applying FNN to groundwater level prediction.

  Info
Periodical
Edited by
Honghua Tan
Pages
2794-2798
DOI
10.4028/www.scientific.net/AMM.29-32.2794
Citation
W. G. Zhao, L. Y. Wang, "Fuzzy Neural Network for Groundwater Level Prediction", Applied Mechanics and Materials, Vols. 29-32, pp. 2794-2798, 2010
Online since
August 2010
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Wang Lan Tian
Abstract:Fuzzy neural network, which can deal with complex data and prediction process that other algorithms can not accomplish, has become a focus in...
930
Authors: Zhao Hui Shi, Cheng Zhi Wang
Abstract:In this paper, we take characteristics of wastewater treatment and process technology, drawing on the effectiveness of thetraditional PID...
339
Authors: Wei Zhang Wang
Green Manufacturing Technology
Abstract:The present solutions of well cementing are mostly designed by designers’ experience and calculation which can not predict the engineering...
373
Authors: Jiang Hua Sui, Qiang Ma
Chapter 8: Biomedical Manufacturing
Abstract:The novel multilayer feed-forward AND-OR fuzzy neural network (AND-OR FNN) is proposed in this paper. The main feature is shown not only in...
846
Authors: Xue Zhong Yin, Jie Gui Wang
Chapter 2: Reliability of Instrument and Fault Diagnosis
Abstract:In order to improve the efficiency and reliability of fault diagnosis for the special electronic equipment, an intelligent fault diagnostic...
401