PM10 emission forecasting using artificial neural networks and genetic algorithm input variable optimization - Antanasijević, Davor Z.; Pocajt, Viktor V.; Povrenović, Dragan S.; Ristić, Mirjana Đ.; Perić-Grujić, Aleksandra A. (The Science of the total environment, 2013)
Keywords: air pollution; algorithms; aluminum; Annual PM10 emission forecasting; Applied sciences; Atmospheric pollution; copper; emissions; energy; environmental indicators; European Union; Exact sciences and technology; gross domestic product; iron; Multiple linear regression; Neural networks; paperboard; Pollution; prediction; Principal component regression; regression analysis; steel; swine; wood; Principal component regression; Annual PM10 emission forecasting; Multiple linear regression; Neural networks; Annual PM; Statistical analysis; Linear regression; Prediction; Regression analysis; Neural network; Pollutant emission; Optimization; Coarse particle; Statistical method; emission forecasting; Genetic algorithm; Particle emission; Aerosols; Principal component analysis