| 基于小波神经网络的机床刀具检测 |
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| 引用本文： | 冯晓锋,余金伟. 基于小波神经网络的机床刀具检测[J]. 新技术新工艺, 2009, 0(8): 45-47 |
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| 作者姓名： | 冯晓锋 余金伟 |
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| 作者单位： | 湖南铁路科技职业技术学院,湖南,株洲,412000 |
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| 摘 要： | 根据小波分析在时频域的自适应性，在与神经网络相结合的基础上，将其运用到机床刀具的检测上，此种方法方便快捷，减少了神经网络的输入节点数，加快了神经网络的训练速度，提高了网络训练的准确度。试验表明，该方法得到满意的结果。
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| 关 键 词： | 小波变换 神经网络 刀具检测 特征向量 |
Machine Tools Detection based on Wavelet Neural Network |
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| FENG Xiaofeng,YU Jinwei. Machine Tools Detection based on Wavelet Neural Network[J]. New Technology & New Process, 2009, 0(8): 45-47 |
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| Authors: | FENG Xiaofeng YU Jinwei |
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| Affiliation: | (Railway Technology Institute of Hunan, Zhuzhou 412000, China) |
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| Abstract: | According to the self--adaptability of time--frequency domain in the wavelet analysis, this paper applied the analysis method to machine tools detection based on the combination with neural network technology. This method is convenient and efficient, and can reduce the input--nodes amount of neural network, as well as improve the speed of neural network training, enhances the accuracy of neural network training. The experiments results indicate that this method is satisfactory. |
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| Keywords: | Wavelet transform Neural network Tool detection Eigenvector |
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