基于人工神經網絡的熱軋碳鋼變形抗力預報

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基于人工神經網絡的熱軋碳鋼變形抗力預報

韓麗琦, 臧勇, 鄒家祥, 章博

文章導航 > 工程科學學報 > 2001 > 23(2): 131-133

韓麗琦, 臧勇, 鄒家祥, 章博. 基于人工神經網絡的熱軋碳鋼變形抗力預報[J]. 工程科學學報, 2001, 23(2): 131-133. doi: 10.13374/j.issn1001-053x.2001.02.009

引用本文:

韓麗琦, 臧勇, 鄒家祥, 章博. 基于人工神經網絡的熱軋碳鋼變形抗力預報[J]. 工程科學學報, 2001, 23(2): 131-133. doi: 10.13374/j.issn1001-053x.2001.02.009

HAN Liqi, ZANG Yong, ZOU Jiaxiang, ZHANG Bo. Prediction of Flow Stress of Carbon Steel in Hot Strip Rolling by Artifcial Neural Network[J]. Chinese Journal of Engineering, 2001, 23(2): 131-133. doi: 10.13374/j.issn1001-053x.2001.02.009

Citation:

HAN Liqi, ZANG Yong, ZOU Jiaxiang, ZHANG Bo. Prediction of Flow Stress of Carbon Steel in Hot Strip Rolling by Artifcial Neural Network[J]. Chinese Journal of Engineering, 2001, 23(2): 131-133. doi: 10.13374/j.issn1001-053x.2001.02.009

韓麗琦, 臧勇, 鄒家祥, 章博. 基于人工神經網絡的熱軋碳鋼變形抗力預報[J]. 工程科學學報, 2001, 23(2): 131-133. doi: 10.13374/j.issn1001-053x.2001.02.009

引用本文:

韓麗琦, 臧勇, 鄒家祥, 章博. 基于人工神經網絡的熱軋碳鋼變形抗力預報[J]. 工程科學學報, 2001, 23(2): 131-133. doi: 10.13374/j.issn1001-053x.2001.02.009

HAN Liqi, ZANG Yong, ZOU Jiaxiang, ZHANG Bo. Prediction of Flow Stress of Carbon Steel in Hot Strip Rolling by Artifcial Neural Network[J]. Chinese Journal of Engineering, 2001, 23(2): 131-133. doi: 10.13374/j.issn1001-053x.2001.02.009

Citation:

HAN Liqi, ZANG Yong, ZOU Jiaxiang, ZHANG Bo. Prediction of Flow Stress of Carbon Steel in Hot Strip Rolling by Artifcial Neural Network[J]. Chinese Journal of Engineering, 2001, 23(2): 131-133. doi: 10.13374/j.issn1001-053x.2001.02.009

基于人工神經網絡的熱軋碳鋼變形抗力預報

doi: 10.13374/j.issn1001-053x.2001.02.009

北京科技大學機械工程學院, 北京 100083

作者簡介:
韓麗琦男,39歲,博士生,高級工程師

中圖分類號: TF301
計量
- 文章訪問數: 220
- HTML全文瀏覽量: 88
- PDF下載量: 7
- 被引次數: 0
出版歷程
- 收稿日期: 2000-08-18

Prediction of Flow Stress of Carbon Steel in Hot Strip Rolling by Artifcial Neural Network

Mechanical Engineering School, UST Beijing, Beijing 100083, China

摘要: 以恒應變速率凸輪壓縮試驗機得到的實驗數據為基礎,采用人工神經網絡的方法建立了碳鋼變形抗力與應變、應變速率及溫度對應關系的預測模型,與多元非線性回歸模型比較,神經網絡模型具有較高的預測精度.
- 人工神經網絡 /
- 變形抗力 /
- 凸輪壓縮試驗機
Abstract: On the basis of the data obtained on Cam Plastometer with constant strain rate, the predicting model for the relation between flow stress and deformation strain, strain rate and temperature of carbon steel has been developed by Artificial Neural Network method. Compared with nonlinear regression method, the neural network model gives better results.
- artificial neural network /
- flow stress /
- cam plastometer

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PDF下載量: 7
被引次數: 0

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