Application of artificial neural networks for modelling correlations in titanium alloys

By S. Malinov, Wei Sha. 2004

142 citations recorded by the source corpus.

Subfields: Materials Chemistry, Mechanical Engineering, Mechanics of Materials

View Paper: https://www.semanticscholar.org/paper/02cadeb5bdb6907d25e647fa631faa8ea9ec15d8

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Shuo Feng
2. Hongbiao Dong
3. Huiyu Zhou

Citations in the corpus

• Using deep neural network with small dataset to predict material defects (2019, background): “Research papers [1-18] and Reviews [19, 20] about SNN applications in material science and engineering have been widely reported.”