Chen Kai, Yu Menghuai, Hu Shangxu, et al. NEURAL NETWORK SIMULATION ON MECHANICAL PROPERTIES OF ZA22/Al2O3f COMPOSITES[J]. Acta Materiae Compositae Sinica, 1997, 14(4): 81-84.
Citation: Chen Kai, Yu Menghuai, Hu Shangxu, et al. NEURAL NETWORK SIMULATION ON MECHANICAL PROPERTIES OF ZA22/Al2O3f COMPOSITES[J]. Acta Materiae Compositae Sinica, 1997, 14(4): 81-84.

NEURAL NETWORK SIMULATION ON MECHANICAL PROPERTIES OF ZA22/Al2O3f COMPOSITES

  • Received Date: 1996-06-25
  • Rev Recd Date: 1996-09-26
  • Publish Date: 1997-12-01
  • The typical model of neural network e.g.B-P algorithm was adopted to analyze as well as predict the mechanical properties of ZA22/Al2O3f composites.The results show that B-P model is not only suitable for the regression and prediction for the single variable output non-linear system,but also suitable for the multi-variables output non-linear system.Perfect fault tolerance ability was also found in the B-P model while it was used to analyze the mechanical properties of ZA22/Al2O3f composites.

     

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      沈阳化工大学材料科学与工程学院 沈阳 110142

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