fig7
![A critical review of the machine learning guided design of metallic glasses for superior glass-forming ability](https://image.oaes.cc/d49da4bc-aa34-4dec-830b-61056e5e949c/4603.fig.7.jpg)
Figure 7. Comparison of GFA predictions from (A) RQGPR and (B) LMANN models with the experimental results obtained from the quasi-ternary Zr-Cu-(Ag, Al) system by Inoue et al.[52]. Reprinted from Ref.[31], copyright (2021), with permission from Springer Nature. GFA: Glass-forming ability; RQGPR: ration quadratic kernel-based Gaussian process regression; LMANN: Levenberg-Marquardt backpropagation artificial neural network.