Analysis Of A Neuro-Fuzzy Approach Of Air Pollution: Building A Case Study

Ciprian-Daniel NEAGU, Daniela NEAGU, Lucian GEORGESCU, Vasile PALADE
2001 Analele Universităţii "Dunărea de Jos" Galaţi: Fascicula III, Electrotehnică, Electronică, Automatică, Informatică  
This work illustrates the necessity of an Artificial Intelligence (AI)-based approach of air quality in urban and industrial areas. Some related results of Artificial Neural Networks (ANNs) and Fuzzy Logic (FL) for environmental data are considered: ANNs are proposed to the problem of short-term predicting of air pollutant concentrations in urban/industrial areas, with a special focus in the south-eastern Romania. The problems of designing a database about air quality in an urban/industrial
more » ... are discussed. First results confirm ANNs as an improvement of classical models and show the utility of ANNs in a well built air monitoring center.
doaj:05f0e5570bad4a2d90057fc223634831 fatcat:ywjneqstzjgnfexseb2o2jwdde