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What is Air Quality Forecasting with GP and ANN about?

This document discusses using genetic programming (GP) and artificial neural networks (ANN) to develop short-term air quality forecasting models for a polluted city in India. Thirty-six models were developed using daily meteorological and pollution concentration data from 2005-2008 as inputs to predict pollutant levels. ANN models served as a benchmark for comparison with more flexible GP models. GP models performed better than ANN even when some input data was unavailable, and generated human-interpretable

Author

kanchankhare7131

Language

EN