Particulate matter prediction using ANFIS modelling techniques
作者： Sanda Florentina Mihalache , Marian Popescu , Mihaela Oprea
DOI: 10.1109/ICSTCC.2015.7321408
关键词: Particulates 、 Artificial neural network 、 Atmospheric model 、 Air quality index 、 Climate change 、 Engineering 、 Adaptive neuro fuzzy inference system 、 Data mining 、 Air pollution 、 Population
摘要: Recent studies on air pollution emphasized particulate matter impact human health and climate changes. This generated a trend for developing research projects which deal with monitoring forecasting quality. paper fits into this presents an ANFIS (adaptive neuro-fuzzy inference system) modelling approach to predict concentration short terms. The technique was tested three data sets covering all seasons specific urban areas from Romania. type imposed the fuzzy system generating method optimization method. resulted prediction model can be used warn population when PM exceeds standard limits, also extract useful knowledge-based modelling.
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