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Using artificial intelligence, Cornell engineers have simplified and reinforced models that accurately calculate the fine particulate matter (PM2.5) – the soot, dust and exhaust emitted by trucks and ...
ANALYSIS OF A NEURO-FUZZY APPROACH OF AIR POLLUTION:BUILDING A CASE STUDY
artificial neural networks fuzzy logic air quality prediction
2010/1/13
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 Fuzz...
