模式識別及人工神經網絡算法在16Mn鋼生產中應用
Application of Pattern Recognition and Artificial Neural Network Algorithm in Optimization of 16Mn-steel Production
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摘要: 介紹了模式識別與人工神經網絡算法應用于16Mn微合金化鋼的生產工藝優化,并給出了各目標的最佳工藝參數供生產時參考.Abstract: Recomend Pattern recognition and artifical neural network algorithm be used on the procedure optimization of tiny vanadium alloy-treated 16Mn-steel production. It has been gived that optimum procedure parameter for various traget to provide reference in production.
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