| Article ID | Journal | Published Year | Pages | File Type | 
|---|---|---|---|---|
| 1577553 | Materials Science and Engineering: A | 2012 | 10 Pages | 
Abstract
												⺠The Arrhenius-type constitutive and BP neural network model are obtained of flowing stress for XC45steel. ⺠The predictabilities of these two models can be evaluated based on the correlation coefficient, root mean square error and average absolute relative error. ⺠It can be found that the BP neural network model is better than the Arrhenius-type constitutive model in the predictable ability through several comparison methods.
											Related Topics
												
													Physical Sciences and Engineering
													Materials Science
													Materials Science (General)
												
											Authors
												Rong-xia Chai, Cheng Guo, Li Yu, 
											