| 改进的BP算法及其在镗孔加工中应用 |
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| 引用本文： | 黄玉春,邓建春,李培根.改进的BP算法及其在镗孔加工中应用[J].机械与电子,2001,1(1):3-5. |
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| 作者姓名： | 黄玉春 邓建春 李培根 |
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| 作者单位： | 华中理工大学机械学院 |
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| 基金项目： | 国家 8 6 3/CIMS项目资助! (86 3 9843 0 0 7) |
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| 摘 要： | 对一般BP算法的激励函数、误差函数等进行了改进，将梯度下降法与遗传算法相结合来训练BP网络，并在此基础上，建立了镗孔加工的人工神经网络预报模型，实验结果表明，该模型能较好地对镗孔加工过程中的尺寸进行预测。
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| 关 键 词： | 人工神经网络 BP算法 遗传算法 镗孔加工 尺寸预测 |
| 文章编号： | 1001-2257(2001)01-0003-0003 |
| 修稿时间： | 2000年7月10日 |
The Study of Improvements in General BP Neural Network Learning Algorithm and Its Applicaion to Hole Boring |
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| Huang Yuchun,et al..The Study of Improvements in General BP Neural Network Learning Algorithm and Its Applicaion to Hole Boring[J].Machinery & Electronics,2001,1(1):3-5. |
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| Authors: | Huang Yuchun |
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| Abstract: | In this paper, some improvements on excitation function, error function as well as the combination of genetic algorithm (GA) and BP are made to train the BP neural network (NN). The prediction model of artificial neural network for boring machining is established. The experimental results show that this model can predict the size error during the boring process. |
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| Keywords: | artificial neural network BP algorithm genetic algorithm predictio |
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