Table 2 Input and output at the testing phase.
From: StressNet - Deep learning to predict stress with fracture propagation in brittle materials
Input | Output |
|---|---|
\(({x}_{1}^{\,\text{norm}\,},{I}_{1}),({x}_{2}^{\,\text{norm}\,},{I}_{2}),...,({x}_{{{\Delta }}t}^{\,\text{norm}\,},{I}_{{{\Delta }}t})\) | \({\hat{x}}_{{{\Delta }}t+1}^{\,\text{norm}\,}\) |
\(({x}_{2}^{\,\text{norm}\,},{I}_{2}),({x}_{3}^{\,\text{norm}\,},{I}_{3}),...,({\hat{x}}_{{{\Delta }}t+1}^{\,\text{norm}\,},{I}_{{{\Delta }}t+1})\) | \({\hat{x}}_{{{\Delta }}t+2}^{\,\text{norm}\,}\) |
… | … |
\(({\hat{x}}_{T-{{\Delta }}t-1}^{\,\text{norm}\,},{I}_{T-{{\Delta }}t-1}),({\hat{x}}_{T-{{\Delta }}t}^{\,\text{norm}\,},{I}_{T-{{\Delta }}t}),...,({\hat{x}}_{T-1}^{\,\text{norm}\,},{I}_{T-1})\) | \({\hat{x}}_{T}^{\,\text{norm}\,}\) |
