| 连铸保护渣性能的人工神经网络模型预测 |
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| 引用本文： | 胡汉涛,魏季和,茅洪祥.连铸保护渣性能的人工神经网络模型预测[J].上海金属,2004,26(1):12-16. |
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| 作者姓名： | 胡汉涛 魏季和 茅洪祥 |
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| 作者单位： | 1. 上海大学材料科学与工程学院,上海,200072
2. 武汉科技大学材料与冶金学院 |
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| 摘 要： | 分析了连铸保护渣的化学成分和物理性能,提出了预测连铸保护渣性能的神经网络模型,根据保护渣的化学成分以该模型预测其粘度。结果表明,模型估计与观测值相当吻合。并与多元线性和非线性回归模型作了比较。
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| 关 键 词： | 连铸保护渣 性能预测 人工神经网络模型 回归分析 |
| 修稿时间： | 2003年3月27日 |
PREDICTION TO THE PROPERTY Of MOLD POWDER BY ARTIFICIAL NEURAL NETWORK MODEL |
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| Hu Hantao Wei Jihe Mao Hongxiang.PREDICTION TO THE PROPERTY Of MOLD POWDER BY ARTIFICIAL NEURAL NETWORK MODEL[J].Shanghai Metals,2004,26(1):12-16. |
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| Authors: | Hu Hantao Wei Jihe Mao Hongxiang |
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| Affiliation: | Hu Hantao Wei Jihe Mao Hongxiang
(Shanghai University)(Wuhan Science and Technology University) |
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| Abstract: | The relation between physical property and chemical composition of the mold powder was analyzed. An artificial neural network model was developed to predict the physical property of the mold powder, and to estimate the viscosity of the smelted mold flux by its chemical composition . The result indicated that the model prediction was in agreement with the observed value. Also the NN model was compared with the models obtained respectively by multi-linear and nonlinear regression. |
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| Keywords: | Mold Powder Property Prediction Artificial Neural Network Model Regression Analysis |
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