| BP神经网络补偿快速成型系统闭环误差的研究 |
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| 引用本文： | 原红玲,杨颖,崔国明.BP神经网络补偿快速成型系统闭环误差的研究[J].工程塑料应用,2007,35(8):33-35. |
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| 作者姓名： | 原红玲 杨颖 崔国明 |
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| 作者单位： | 河南机电高等专科学校,新乡,453002;合肥工业大学,合肥,230009 |
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| 摘 要： | 提出快速成型系统闭环误差反馈的必要性,将BP神经网络引入快速成型技术,建立了快速成型误差补偿模型,探求出一种快速成型系统闭环误差的反馈方法,并通过实例进行了验证。结果表明,基于BP神经网络控制的最大绝对误差和相对误差均比传统误差补偿方法大为降低。
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| 关 键 词： | 快速成型系统 闭环误差反馈 BP神经网络 |
| 修稿时间： | 2007-05-18 |
RESEARCH INTO THE COMPENSATION OF CLOSED LOOP ERROR OF RAPID PROTOTYPING SYSTEM BY BP NERVE NETWORK |
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| Yuan Hongling,Yang Yin,Cui Guomin.RESEARCH INTO THE COMPENSATION OF CLOSED LOOP ERROR OF RAPID PROTOTYPING SYSTEM BY BP NERVE NETWORK[J].Engineering Plastics Application,2007,35(8):33-35. |
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| Authors: | Yuan Hongling Yang Yin Cui Guomin |
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| Affiliation: | 1. Henna Mechanical and Electrical Engineering College, Xinxiang 453002, China; 2. Hefei University of Technology, Hefei 230009, China |
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| Abstract: | The necessity of closed loop error feedback of rapid prototyping(RP)system is proposed and an error compensation model of RP is created.Based on this model,a feedback method of RP is established and proved.The results show that both the maximum absolute error and the relative error based on BP nerve network are much lower than those of the traditional method. |
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| Keywords: | rapid prototyping system closed loop error feedback BP nerve network |
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