ABSTRACT
Adaptive neuro-fuzzy inference system (ANFIS) has gained prominence in solving engineering problems over the past two decades. It has incredible ability to generalize for complex non-linear systems efficiently when used alone and more when trained with a hybrid technique. However, less is known about its strengths and peculiarities for effective use in energy and water system modelling. This chapter presents essential knowledge of ANFIS. A basic knowledge on black box models and their model performance measures were discussed. Few case studies of ANFIS application as a standalone modelling tool and when optimized with either a derivative, hybrid, or heuristic algorithm in energy and water resources were also considered. ANFIS model using heuristic method for the optimization of the adaptive layers is mostly used due to its high effectiveness.
