Application of different artificial neural network for streamflow forecasting

Time series of future streamflow plays a vital role in planning, designing, and management of the water resources system. There are many forecasting methods available and most of them are rather simple to the extent that they fail to perform adequately in capturing complex relationships between variables. Artificial neural network (ANN) is a comparatively newer technique, which generally exhibits extraordinary performance in solving this particular predicament. Therefore, ANN is becoming more and more popular among researchers for streamflow forecasting. In recent days, there have been new developments in the types of ANN techniques for forecasting. In this chapter, a brief description of the ANN structure is provided. Afterward, the most commonly used ANN modeling techniques and their process mechanisms are…