fig12

Hot deformation behavior investigation of heat-resistant aluminum matrix composite based on Arrhenius model and machine learning

Figure 12. Comparison of model-derived flow stress values obtained from the GA-BPNN model with experimental values at different strain rates: (A) 10-1; (B) 10-2; (C) 10-3. GA-BPNN: Genetic algorithm-optimized back-propagation neural network.

Journal of Materials Informatics
ISSN 2770-372X (Online)
Follow Us

Portico

All published articles are preserved here permanently:

https://www.portico.org/publishers/oae/

Portico

All published articles are preserved here permanently:

https://www.portico.org/publishers/oae/