Discussion of 'Application of neural network and adaptive neuro-fuzzy inference systems for river flow prediction'

摘要

Pramanik & Panda (2009) examined the potential of the neural network and adaptive neuro-fuzzy approaches in prediction of river flows. The discusser would like to present the following important points of view, which the authors and potential researchers may wish to consider.rn1. The authors used the standard back-propagation algorithm, gradient descent (GD), for the adaptive neuro-fuzzy inference system (ANFIS) training.