2018
DOI: 10.1016/j.msea.2018.07.027
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Deformation and annealing behaviour of dual phase TWIP steel from the perspective of residual stress, faults, microstructures and mechanical properties

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Cited by 22 publications
(1 citation statement)
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“…Data. Before the data are input into the neural network model, the data are subjected to principal component dimension reduction [15,16]. In the evaluation process of literature research, after reducing the dimension of the principal component of the data, this part of the data is brought into the network model and the original data without dimension reduction are substituted into the model for comparison.…”
Section: Dimensionality Reduction Of Principal Componentmentioning
confidence: 99%
“…Data. Before the data are input into the neural network model, the data are subjected to principal component dimension reduction [15,16]. In the evaluation process of literature research, after reducing the dimension of the principal component of the data, this part of the data is brought into the network model and the original data without dimension reduction are substituted into the model for comparison.…”
Section: Dimensionality Reduction Of Principal Componentmentioning
confidence: 99%