Now showing items 1-2 of 2
Artificial neural networks to predict daylight illuminance in office buildings
A prediction model was developed to determine daylight illuminance for the office buildings by using artificial neural networks (ANNs). Illuminance data were collected for 3 months by applying a field measuring method. ...
Quantification of CaCO3-CaSO3·0.5H 2O-CaSO4·2H2O mixtures by FTIR analysis and its ANN model
A new quantitative analysis method for mixtures of calcium carbonate (CaCO3), calcium sulphite hemihydrate (CaSO 3·1/2H2O) and gypsum (CaSO 4·2H2O) by FTIR spectroscopy is developed. The method involves the FTIR analysis ...