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S.-Y. Zheng, Z.-B. Li and X.-A. Li, “Artificial Neural Network Method for Forecast of Underground Water Level,” Northwest Water Lou Shuntian, Shi Yang, Systems Analysis and Design Based on MATLAB-Artificial Neural Network, XiDian University Publishing Company, Xian, 1998, pp. 210-256.

has been cited by the following article:

• TITLE: Simulation and Prediction for Groundwater Dynamics Based on RBF Neural Network

  AUTHORS: Zhonghua Fei, Dinggui Luo, Bo Li

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

  JOURNAL NAME: Journal of Water Resource and Protection, Vol.4 No.7, June 18, 2012

  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.