Prediction of Air Pollutant Concentrations by Selected Neural Network Architectures
Air pollution currently represents a significant environmental challenge with a direct impact on both public health and ecosystems. One of the aims of this paper is to predict the concentration of particulate matter PM10 and CO2 in the air using machine learning methods, specifically by employing various types of neura...