Simulation and Prediction for Groundwater Dynamics Based on RBF Neural Network

Zhonghua Fei, Dinggui Luo, Bo Li

School of Environmental Science and Engineering, Guangzhou university, Guangzhou, China.
School of Mathematics and Physics Changzhou University, Changzhou, China.

DOI: 10.4236/jwarp.2012.47063                

Abstract

Based on MATLAB, a new model-BRF network model is founded to be used in groundwater dynamic simulation and prediction. It is systematically studied about the training sample set, testing sample set, the pretreatment of the original data, neural network construction, training, testing and evaluating the entire process. A favorable result is achieved by applying the model to simulate and predict groundwater dynamics, which shows this new method is precise and scientific.

Keywords

Dynamic Simulation and Forecast; Groundwater; BP Network; RBF Networks

Conflicts of Interest

The authors declare no conflicts of interest.

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