Fuzzy Neural Network for Groundwater Level Prediction

Abstract:

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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 and 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

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Price:

$35.00

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