Title :
Air quality prediction using a neuro-fuzzy system
Author :
Negnevitsky, M. ; Kelareva, G.
Author_Institution :
Sch. of Eng., Tasmania Univ., Hobart, Tas., Australia
fDate :
6/23/1905 12:00:00 AM
Abstract :
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
Keywords :
air pollution control; fuzzy neural nets; air quality prediction; fuzzy rules; fuzzy systems; neural networks; neurofuzzy system; Air pollution; Airports; Cities and towns; Fuzzy neural networks; Fuzzy sets; Fuzzy systems; Humans; Meteorology; Neural networks; Neurons;
Conference_Titel :
Fuzzy Systems, 2001. The 10th IEEE International Conference on
Conference_Location :
Melbourne, Vic.
Print_ISBN :
0-7803-7293-X
DOI :
10.1109/FUZZ.2001.1007353
