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Abstract: The
theory and the algorithm of the artificial neural network are applied in
the research of the double glow plasma surface alloying processing. On
the basis of the training of network, the mathematics model on the
relationship between the double glow plasma surface alloying technique
and the composition, the gross mass fraction of element, the thickness
of surface alloying layer as well as the absorption rate is built. The
calculation results are in good agreement with the experimental
results.
Key words: Double glow Artificial neural network Prediction model
CLC No: TG156
国家“863”高科技资助项目(7150080050). Received 20010705, received in revised form
20020515
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