ABSTRACT
Before developing artificial neural network (NN) rainfall-runoff models, it is important to have a fundamental understanding of both the application area (hydrology) and the modelling tool. The field of NN research is diverse, which makes it difficult but nevertheless essential to: (i) grasp the fundamental workings of this ‘tool’ and (ii) develop an appreciation of the broad range of NN models available, the different training approaches that can be used and, perhaps most importantly, understand their strengths and limitations.
