Fast simulated annealing is implemented into the learning process of neural network to replace the traditional back-propagation algorithm. The new procedure exhibits performance fast in learning and accurate in predic...Fast simulated annealing is implemented into the learning process of neural network to replace the traditional back-propagation algorithm. The new procedure exhibits performance fast in learning and accurate in prediction compared to the traditional neural networks. Two numerical data sets were used to illustrate its use in chemistry.展开更多
Artificial neural network(ANN) models have been employed to the calculations ofdensities and excess molar volumes of water+methanol+ethylene glycol ternary system at different temperatures. The results were satisfacto...Artificial neural network(ANN) models have been employed to the calculations ofdensities and excess molar volumes of water+methanol+ethylene glycol ternary system at different temperatures. The results were satisfactory comparing with the experimental values. The method wasconvenient in operation, rapid in calculation and easy in extending to multicomponent systems.展开更多
文摘Fast simulated annealing is implemented into the learning process of neural network to replace the traditional back-propagation algorithm. The new procedure exhibits performance fast in learning and accurate in prediction compared to the traditional neural networks. Two numerical data sets were used to illustrate its use in chemistry.
文摘Artificial neural network(ANN) models have been employed to the calculations ofdensities and excess molar volumes of water+methanol+ethylene glycol ternary system at different temperatures. The results were satisfactory comparing with the experimental values. The method wasconvenient in operation, rapid in calculation and easy in extending to multicomponent systems.
