Air quality prediction using a neuro-fuzzy system
Michael Negnevitsky, GV Kelareva · 2002
Neuro-fuzzy systems combine advantages of both neural networks and fuzzy systems. They use fuzzy rules to incorporate knowledge of a human expert and, at the same time, are capable of learning from data. This paper demonstrates an application of a neuro-fuzzy system for predicting air quality in a region.