Author:
Valderrama José O.,Cardona Luis F.,Campusano Richard A.,Rivas Francklin
Publisher
Springer Science and Business Media LLC
Reference36 articles.
1. O.I. Abiodun, A. Jantan, A.E. Omolara, K.V. Dada, N.A. Mohamed, H. Arshad, State-of-the-art in artificial neural network applications: a survey. Heliyon 4, e00938 (2018). https://doi.org/10.1016/j.heliyon.2018.e00938
2. C.A. Faúndez, R.A. Campusano, J.O. Valderrama, Misleading results on the use of artificial neural networks for correlating and predicting properties of fluids. A case on the solubility of refrigerant R-32 in ionic liquids. J. Mol. Liq. 298, 112009 (2020). https://doi.org/10.1016/j.molliq.2019.112009
3. N.K. Bose, P. Liang, Neural network fundamentals with graphs, algorithms, and applications (McGraw-Hill, New York, 1996)
4. D. Kriesel, A Brief Introduction to Neural Networks (2007). www.dkriesel.com/en/science/neural_networks. Accessed 26 October 2022
5. J. Taskinen, J. Yliruusi, Prediction of physicochemical properties based on neural network modeling. Adv. Drug Deliv. Rev. 55, 1163–1183 (2003). https://doi.org/10.1016/S0169-409X(03)00117-0