Paper Title:
Application of Materials Design Based on Genetic Neural Network
  Abstract

Neural network (NN) is an effective method in the filed of materials design, but the convergent speed is decided by initial weights. This paper proposes genetic neural network algorithm (GNNA) to design materials. Aluminum titanate modification is studied by the method of GNNA. The results indicate the algorithm works well.

  Info
Periodical
Key Engineering Materials (Volumes 280-283)
Edited by
Wei Pan, Jianghong Gong, Chang-Chun Ge and Jing-Feng Li
Pages
1837-1840
DOI
10.4028/www.scientific.net/KEM.280-283.1837
Citation
Y. Zhang, X. J. Li, L. K. Zeng, C. K. Chang, "Application of Materials Design Based on Genetic Neural Network", Key Engineering Materials, Vols. 280-283, pp. 1837-1840, 2005
Online since
February 2007
Keywords
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Price
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