NEURAL NETWORK SIMULATION ON MECHANICAL PROPERTIES OF ZA22/Al2O3f COMPOSITES
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Abstract
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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