Research ArticleOpen AccessGoogle Scholar indexed
Simulation and Prediction for Groundwater Dynamics Based on RBF Neural Network
School of Mathematics and Physics Changzhou University, Changzhou, China
School of Environmental Science and Engineering, Guangzhou university, Guangzhou, China
School of Mathematics and Physics Changzhou University, Changzhou, China
- 1 School of Mathematics and Physics Changzhou University, Changzhou, China
- 2 School of Environmental Science and Engineering, Guangzhou university, Guangzhou, China
- 3 School of Mathematics and Physics Changzhou University, Changzhou, China
Journal of Water Resource and Protection·Volume 04 (2012)·Pages 540–544·Published 20 July 2012·DOI10.4236/jwarp.2012.47063
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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.
KeywordsDynamic Simulation and ForecastGroundwaterBP NetworkRBF Networks
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