摘要
The solubility of caffeine in water and ethanol at 0—50℃ was measured using the laser method. The results were regressed with an empirical equation and simplified EOS correlation. A 2-2-1 backpropagation (BP) artificial neural network (ANN) model was selected from many other models. The prediction of interpolation and extrapolation of the data was made with trained 2-2-1 BP ANN model. The result was satisfactory.
The solubility of caffeine in water and ethanol at 0—50℃ was measured using the laser method. The results were regressed with an empirical equation and simplified EOS correlation. A 2-2-1 backpropagation (BP) artificial neural network (ANN) model was selected from many other models. The prediction of interpolation and extrapolation of the data was made with trained 2-2-1 BP ANN model. The result was satisfactory.
出处
《化工学报》
EI
CAS
CSCD
北大核心
2004年第1期125-128,共4页
CIESC Journal
关键词
溶解度
咖啡因
人工神经网络
solubility, caffeine, artificial neural network
