Pages that link to "Item:Q2854696"
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The following pages link to Prediction of uniaxial compression PFC3D model micro-properties using artificial neural networks (Q2854696):
Displaying 9 items.
- Application of supervised machine learning as a method for identifying DEM contact law parameters (Q2092159) (← links)
- Weibull grain-based model (W-GBM) for simulating heterogeneous mechanical characteristics of salt rock (Q2334243) (← links)
- An integrated mechanistic-neural network modelling for granular systems (Q2504406) (← links)
- Prediction of surface crown pillar stability using artificial neural networks (Q4933143) (← links)
- Advances in Neural Networks – ISNN 2005 (Q5707476) (← links)
- Advances in Neural Networks – ISNN 2005 (Q5707499) (← links)
- Modelling soil behaviour in uniaxial strain conditions by neural networks (Q5950325) (← links)
- Hybrid approach to predict the effective properties of heterogeneous materials using artificial neural networks and micromechanical models (Q6089273) (← links)
- Field-enriched finite element method for simulating of three-dimensional crack propagation (Q6101636) (← links)
