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利用人工神经网络分析熔炼工艺参数与铁液成分的关系

Apply Artificial Neural Network(ANN)to Analyze the Relationship between Melting Process Variables and Compositioll of Molten Iron

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【摘要】 建立了发铸铁的工艺参数与铁液成分关系的前馈型多层神经网络模型,预测灰铸铁的铁液成分,并分析工艺参数与灰铸铁铁液成分的关系。

【Abstract】 A feed forward multilayer neural network model for the relationship between melting process ing variables and the composition of molten iron was established. It could be used to predict the composition of molten gray iron. The relationship between process variables and the compositions of molten gray iron was analyzed.

【基金】 江苏省科协资助
  • 【分类号】TG24
  • 【被引频次】6
  • 【下载频次】59
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