Simulation and Prediction for Groundwater Dynamics Based on RBF Neural Network

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DOI: 10.4236/jwarp.2012.47063    4,507 Downloads   6,946 Views  Citations

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.

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Z. Fei, D. Luo and B. Li, "Simulation and Prediction for Groundwater Dynamics Based on RBF Neural Network," Journal of Water Resource and Protection, Vol. 4 No. 7, 2012, pp. 540-544. doi: 10.4236/jwarp.2012.47063.

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