Paper Title:
Artificial Neural Networks in Materials Science Application
  Abstract

Because but the artificial neural networks has the strong non-linear problem handling ability also the fault tolerance strong obtains the widespread application in the materials science.This article to its material design, the material preparation craft optimizes, the plastic processing, the heat treatment, the compound materials, corrode, domain and so on casting applications have carried on the discussion.

  Info
Periodical
Edited by
Qi Luo
Pages
1211-1216
DOI
10.4028/www.scientific.net/AMM.20-23.1211
Citation
W. Y. Zhang, "Artificial Neural Networks in Materials Science Application", Applied Mechanics and Materials, Vols. 20-23, pp. 1211-1216, 2010
Online since
January 2010
Authors
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Zheng Wang, A Na Wang, Kai Guo, Jiang Hua Cheng
Abstract:Based on the nominal stress method for fatigue life prediction, the model for predicting the fatigue life of mechanical structures under...
949
Authors: Hong Miao, Qing Mei, Jing Yun Yuan, Zai Xiang Zheng, Yi Fu Jin, Dun Wen Zuo
Chapter 6: Applied Decisions by Information Technologies
Abstract:This paper established the model base, knowledge base, application base and test base for the cold extrusion process of internal thread and...
1867