Real-time recurrent learning neural network for streamflow forecasting

  title={Real-time recurrent learning neural network for streamflow forecasting},
  author={Fi-John Chang and Li-Chiu Chang and Hau-Lung Huang},
Various types of neural networks have been proposed in previous papers for applications in hydrological events. However, most of these applied neural networks are classified as static neural networks, which are based on batch processes that update action only after the whole training data set has been presented. The time variate characteristics in hydrological processes have not been modelled well. In this paper, we present an alternative approach using an artificial neural network, termed real… CONTINUE READING