The paper presents the results of a comparative study performed between two
computational intelligence techniques, artificial neural networks (ANNs) and adaptive neuro …

Recent studies on air pollution emphasized particulate matter impact on human health and
climate changes. This impact generated a trend for developing research projects which deal …

Computational intelligence based forecasting approaches proved to be more efficient in real
time air pollution forecasting systems than the deterministic ones that are currently applied …

The paper analyzes two artificial intelligence methods for particulate matter air pollutant
prediction, namely data mining and adaptive neuro-fuzzy inference system (ANFIS). Both …

Özet Bu çalışmada, Konya ilindeki hava kirliliği seviyesinin tespiti ve insan sağlığına etki
edecek konsantrasyonların tahminine yönelik çalışmalar yapılmıştır. Söz konusu amaca …

In reality, most time series observations take the form of multivariate data that are influenced
by many factors. In real-world modeling problems, too many inputs can increase calculation …

Abstract Analysis the production of copper flotation concentrate in the copper mineral
processing plant Veliki Krivelj (RTB Bor) is described in this paper. The correlation between …

Soft computing is widely used as it enables forecasting with fast learning capacity and
adaptability, and can process data despite uncertainties and complex nonlinear …

El problema de toma de decisiones ha sido ampliamente usado como un problema de
decisión multicriterio que ha abierto puertas a diferentes metodologías apoyadas en la …

In this paper, the production of copper flotation concentrate in the copper mineral processing
plant „Veliki Krivelj “(RTB Bor) was analysed. The correlation between the input parameters …