The applicability of neural network model to predict flow stress for carbon steels
- 26 August 2003
- journal article
- Published by Elsevier in Journal of Materials Processing Technology
- Vol. 141 (2), 219-227
- https://doi.org/10.1016/s0924-0136(02)01123-8
Abstract
No abstract availableKeywords
This publication has 10 references indexed in Scilit:
- Development of constitutive equations for modelling of hot rollingMaterials Science and Technology, 2000
- The prediction of the hot strength in steels with an integrated phenomenological and artificial neural network modelJournal of Materials Processing Technology, 1999
- The Application of Constitutive and Artificial Neural Network Models to Predict the Hot Strength of Steels.ISIJ International, 1999
- A Course in Mathematical ModelingPublished by American Mathematical Society (AMS) ,1999
- Constitutive behavior modeling of steels under hot-rolling conditionsPublished by National Institute of Standards and Technology (NIST) ,1999
- A comparative study of artificial neural networks for the prediction of constitutive behaviour of HSLA and carbon steelsSteel Research, 1996
- Neural network approach to flow stress evaluation in hot deformationJournal of Materials Processing Technology, 1995
- The high temperature and high strain-rate behaviour of a plain carbon and an HSLA steelJournal of Materials Processing Technology, 1987
- Modelling on flow stress of plain carbon steel at elevated temperaturesSteel Research, 1985
- A unified phenomenological description of work hardening and creep based on one-parameter modelsActa Metallurgica, 1984