| 基于BP神经网络的开式冷挤压成形极限变形程度预测 |
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| 引用本文： | 张双杰,高颖,王丽娟,李军,赵军.基于BP神经网络的开式冷挤压成形极限变形程度预测[J].锻压装备与制造技术,2003,38(5):56-59. |
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| 作者姓名： | 张双杰 高颖 王丽娟 李军 赵军 |
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| 作者单位： | 1. 河北科技大学,材料学院,河北,石家庄,050054
2. 燕山大学,河北,秦皇岛,066004 |
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| 摘 要： | 采用实验研究与神经网络相结合的方法进行研究，通过大量实验，获取大量数据，在此基础上，建立BP网络模型。通过对开式冷挤压极限变形程度神经网络计算结果与实验结果的比较，其精度较高，证明用神经网络方法既可以实现开式冷挤压工艺的参数预测，叉能给出系统完整的可供指导实际生产的工艺参数数据，对于开式冷挤压的实际生产具有指导意义，是一种可行的分析手段。
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| 关 键 词： | 开式冷挤压 极限变形程度预测 BP神经网络 计算机 |
| 文章编号： | 1672-0121(2003)05-0056-04 |
| 修稿时间： | 2003年1月25日 |
Prediction of Maximum Reduction of Open-Die Cold Extrusion with BP ANN ( Artificial Neural Network ) |
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| ZHANG Shuangjie ,GAO Ying ,WANG Lijuan ,LI Jun ,ZHAO Jun.Prediction of Maximum Reduction of Open-Die Cold Extrusion with BP ANN ( Artificial Neural Network )[J].China Metalforming Equipment & Manufacturing Technology,2003,38(5):56-59. |
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| Authors: | ZHANG Shuangjie GAO Ying WANG Lijuan LI Jun ZHAO Jun |
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| Affiliation: | ZHANG Shuangjie 1,GAO Ying 1,WANG Lijuan 1,LI Jun 1,ZHAO Jun 2 |
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| Abstract: | Based on the method of experimental study combined with ANN and a large amount of experimental data,three BP models have been built with higher precision of prediction results of ANN,compared with the experi-mental results about open-die extrusion maximum reduction.The ANN has been proved not only to realize the pre-diction of the technology parameters of open-die cold extrusion,but also give the systematic complete parameters da-ta,directing practical production,being significance to practice production of open-die cold extrusion hence a feasi-ble analysis means. |
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| Keywords: | Computer application Prediction of maximum reduction BP ANN(artificial neural network) Open-die cold extrusion |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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