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灰铁化学成分及工艺参数与性能的关系 (Ⅰ)灰铁性能预测的人工神经网络模型
Relationships between Chemical Compositions,Processing Variables and Properties of Gray Cast Iron (I) Artificial Neural Network Model for Gray Cast Iron Property Prediction
【摘要】 本文建立了灰铁性能预测的前馈型多层神经网络模型,并将其预测结果同多元统计分析结果作了比较,分析了人工神经网络模型的优点。
【Abstract】 A feedforward multilayer neural network model has been established in this paper for prediction of gray cast iron properties. The predicted results obtained were compared with that obtained by multiple statistic analysis. Advantages of neural network model was also examined.
- 【文献出处】 现代铸铁 ,Modern Cast Iron , 编辑部邮箱 ,1996年03期
- 【分类号】TG143
- 【被引频次】6
- 【下载频次】118