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.

• Periodical: Applied Mechanics and Materials (Volumes 29-32)
• Pages: 2794-2798
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.29-32.2794
• Online since: August 2010
• Authors: Wei Guo Zhao, Li Ying Wang
• Keywords: Artificial Neural Network (ANN), Fuzzy Neural Network (FNN), Groundwater Level Prediction

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