Bk. Jha et al., ESTIMATING DIFFUSION-COEFFICIENTS OF A MICELLAR SYSTEM USING AN ARTIFICIAL NEURAL-NETWORK, Journal of colloid and interface science, 170(2), 1995, pp. 392-398
A three-layer feedforward artificial neural network (ANN) model, train
ed using the error-back-propagation algorithm has been developed to es
timate the diffusion coefficient of sodium dodecyl sulfate (SDS) micel
lar system over a wide range of operating parameters such as temperatu
re and concentrations of SDS and NaCl. The network model validates the
experimentally observed qualitative and quantitative trends. The opti
mal model parameters in terms of network weights have been estimated a
nd can be used for computing diffusion coefficients over wide-ranging
experimental conditions. (C) 1995 Academic Press, Inc.