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Although many models have been developed for prediction and forecasting of time series in various engineering fields, there is no perfect model to forecast hydrologic time series. In recent decades, Artificial Neural Networks (ANNs) have been very common for prediction and forecasting of hydrologic time series because of their practicality in applications. In this paper, we propose the application...
Based on the measurement data on the sediment concentration of section AD4 in the north passage of south branch of the Yangtze estuary on April 26, 2009, interpolation calculation of sectional sediment concentration distribution was conducted using inverse distance to a power method, modified Shepard's interpolation, polynomial regression interpolation method, Kriging interpolation method and radial...
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