Now showing items 1-3 of 3
Artificial neural network prediction of tropospheric ozone concentrations in Istanbul, Turkey
(Wiley-VCH Verlag, 2010-10)
Tropospheric (ground-level) ozone has adverse effects on human health and environment. In this study, next day's maximum 1-h average ozone concentrations in Istanbul were predicted using multi-layer perceptron (MLP) type ...
Experimental and artificial neural network modeling study on soot formation in premixed hydrocarbon flames
The formation of soot in premixed flames of methane, ethane, propane, and butane was studied at three different equivalence ratios. Soot particle sizes, number densities, and volume fractions were determined using classical ...
Prediction of the bottom ash formed in a coal-fired power plant using artificial neural networks
he amount of bottom ash formed in a pulverized coal-fired power plant was predicted by artificial neural network modeling using one-year operating data of the plant and the properties of the coals processed. The model ...