| 铝合金凝固晶粒尺寸的人工神经网络研究 |
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| 引用本文： | 訾炳涛,崔建忠.铝合金凝固晶粒尺寸的人工神经网络研究[J].应用科学学报,2001,19(4):353-356. |
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| 作者姓名： | 訾炳涛 崔建忠 |
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| 作者单位： | [1]清华大学机械工程系，北京100084 [2]东北大学材料与冶金学院，辽宁沈阳110004 |
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| 基金项目： | 国家重大基础研究发展规划基金资助项目 ( G19990 6 490 0 0 5 ) |
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| 摘 要： | 建立了强脉冲电磁场作用下铝合金凝固组织晶粒尺寸的人工神经网络BP算法模型。用该模型进行的模拟结果和实验数据吻合得较好。研究表明，用这一方法可对脉冲电磁场作用下的凝固组织晶粒尺寸进行预测，为优化实验设计提供了简便实用的方法和手段。
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| 关 键 词： | 凝固组织 晶粒尺寸 人工神经网络 BP算法模型 铝合金 |
A Study on the Artificial Neural Network Model of the Solidified Grain Size of Alalloy |
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| ZI Bing-tao ,YAO Ke-fu ,CUI Jian-zhong ,BA Qi-xian.A Study on the Artificial Neural Network Model of the Solidified Grain Size of Alalloy[J].Journal of Applied Sciences,2001,19(4):353-356. |
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| Authors: | ZI Bing-tao YAO Ke-fu CUI Jian-zhong BA Qi-xian |
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| Institution: | ZI Bing-tao 1,YAO Ke-fu 1,CUI Jian-zhong 2,BA Qi-xian 2 |
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| Abstract: | A BP algorithmic model was established for the artificial neural network of the grain size of Al-alloy's solidification structure under the action of strong pulse electromagnetic field. The simulating results were in agreement with the experimental results. It was shown that this BP algorithmic model of artificial neural network could be used to control the parameters and predict the solidified grain size under the action of strong pulse electromagnetic field. It provides us with an easy and practical method and means for optimizing experimental design. |
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| Keywords: | grain size of solidification structure artificial neural network BP arithmetic model |
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