Paper Title:
Optimization of the Hot Pressing Parameters of Nanocomposite Ceramic Tool and Die Materials: II. with Hybrid GA-BP Method
  Abstract

In this paper, the two hybrid algorithms of back propagation artificial neural network and genetic algorithm were used in the optimum design of the hot pressing parameters of an advanced ZrO2/TiB2/Al2O3 nanocomposite ceramic tool and die material. Compared with the BP algorithm, the predicted results of hybrid algorithm indicated that the combination algorithm can offer a robust and efficient way for the fabrication process design of ceramic tool and die materials.

  Info
Periodical
Advanced Materials Research (Volumes 154-155)
Edited by
Zhengyi Jiang, Xianghua Liu and Jinglong Bu
Pages
1091-1095
DOI
10.4028/www.scientific.net/AMR.154-155.1091
Citation
J. J. Zhang, C. H. Xu, M. D. Yi, H. F. Zhang, X. H. Wang, "Optimization of the Hot Pressing Parameters of Nanocomposite Ceramic Tool and Die Materials: II. with Hybrid GA-BP Method", Advanced Materials Research, Vols. 154-155, pp. 1091-1095, 2011
Online since
October 2010
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