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The Scientific World Journal
Volume 2014, Article ID 108492, 12 pages
http://dx.doi.org/10.1155/2014/108492
Research Article

A Comparative Study on Improved Arrhenius-Type and Artificial Neural Network Models to Predict High-Temperature Flow Behaviors in 20MnNiMo Alloy

School of Material Science and Engineering, Chongqing University, Chongqing 400044, China

Received 24 August 2013; Accepted 22 December 2013; Published 12 February 2014

Academic Editors: F. Berto and Y.-Y. Chen

Copyright © 2014 Guo-zheng Quan et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Guo-zheng Quan, Chun-tang Yu, Ying-ying Liu, and Yu-feng Xia, “A Comparative Study on Improved Arrhenius-Type and Artificial Neural Network Models to Predict High-Temperature Flow Behaviors in 20MnNiMo Alloy,” The Scientific World Journal, vol. 2014, Article ID 108492, 12 pages, 2014. https://doi.org/10.1155/2014/108492.