Acta Metallurgica Sinica (English Letters) ›› 1999, Vol. 12 ›› Issue (5): 1212-1216.

• Research paper • Previous Articles     Next Articles

APPLICATION OF GENETIC NEURAL NETWORK IN Zn-27 % Al-Mg ALLOY

L. S. Yang1) . H. T. Sun2) and A. N. Zhand2)1) Department of Materials Engineering , Luoyang Institute of Technology , Luoyang 471039 , China2) Department of Electric Engineering , Luoyang Institute of Technology , Luoyang 471039 , China   

  • Received:1999-10-25 Revised:1999-10-25 Online:1999-10-25 Published:2009-10-10

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Abstract: A genetic neural net work m odel about design of Mg content in the alloy , based on tested databetw een Mg and tensile intensity or elongation in Zn 27 % Al alloy , has been established . Theresult has sho w n that the genetic neural netw ork is a better an d m ore applied method for m a terials design than the regress analysis .

Key words: neural netw ork , genetic algorith m , zinc base alloy , m aterials design

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