Page 125 - Machine Learning for Subsurface Characterization
P. 125
Shallow neural networks and classification methods Chapter 3 101
[13] Chamjangali MA, Beglari M, Bagherian G. Prediction of cytotoxicity data (CC50) of anti-HIV
5-pheny-l-phenylamino-1H-imidazole derivatives by artificial neural network trained with
Levenberg-Marquardt algorithm. J Mol Graph Model 2007;26(1):360–7.
[14] Cheng C, Chau K, Sun Y, Lin J. Long-term prediction of discharges in Manwan Reservoir
using artificial neural network models, In: Advances in neural networks—ISNN 2005;
2005. p. 975.
[15] Kuhn M, Johnson K. Applied predictive modeling. New York: Springer; 2013.
[16] Li H, Misra S, He J. Neural network modeling of in situ fluid-filled pore size distributions in
subsurface shale reservoirs under data constraints. Neural Comput Appl 2019;1–13.
[17] Li H, Misra S. Long short-term memory and variational autoencoder with convolutional neural
networks for generating NMR T2 distributions. IEEE Geosci Remote Sens Lett 2018;16
(2):192–5.