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| BP神经网络在麻花钻主切削刃直线拟合中的应用 | |
| 引用本文： | 向文江,姚锡凡,葛动元.BP神经网络在麻花钻主切削刃直线拟合中的应用[J].机床与液压,2010,38(3). |
| 作者姓名： | 向文江 姚锡凡 葛动元 |
| 作者单位： | 1. 邵阳学院机械与能源工程系,湖南邵阳,422004 2. 华南理工大学机械与汽车工程学院,广东广州,510640 3. 邵阳学院机械与能源工程系,湖南邵阳,422004;华南理工大学机械与汽车工程学院,广东广州,510640 |
| 基金项目： | 国家“863”高技术研究发展计划(2007AA04Z111);;湖南省教育厅重点项目(07A062);;湖南省自然科学基金资助项目(09JJ6091);;湖南省教育厅资助科研项目(09B092) |
| 摘 要： | 在将BP神经网络引入到麻花钻主切削刃直线拟合的数据处理时,以钻头主切削刃直线采样点的坐标作为网络的2路输入,得到1路输出,性能指标为其输出与常数1差值的平方;根据梯度下降法来调整隐层神经元与输出神经元之间的连接权值,性能指标达到预定值时,获得一组稳定的权值,根据该权值向量即可求得钻头主切削刃直线表达式的系数,据此实现较高精度的主切削刃缺口深度等的检测;该算法与常规的数据处理方法如最小二乘法、Household正交变换法相比,具有算法简单、精度高的优点。 |
| 关 键 词： | BP神经网络 麻花钻 主切削刃 性能指标 Lyapunov函数 收敛性 |
Application of BP Neural Network in Linear Fitting of Twist-drill Main Lips |
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| XIANG Wenjiang,YAO Xifan,GE Dongyuan.Application of BP Neural Network in Linear Fitting of Twist-drill Main Lips[J].Machine Tool & Hydraulics,2010,38(3). | |
| Authors: | XIANG Wenjiang YAO Xifan GE Dongyuan |
| Affiliation: | 1.Department of Mechanical & Energy Engineering;Shaoyang University;Shaoyang Hunan 422004;China;2.School of Mechanical & Automotive Engineering;South China University of Technology;Guangzhou Guangdong 510640;China |
| Abstract: | While BP Neural Network was introduced into data processing to fit twist-drill main lips lines,coordinates of its sampled points were taken as 2 inputs of neural network,1 output was obtained,and the square of difference between the output and constant 1 was taken as performance index.Weights between hidden neurons and output neuron were tuned in the light of gradient descent mean,and stable weight values vectors were obtained until the desired performance index was reached,and expression coefficients of ma... |
| Keywords: | BP neural network Twist-drill Main lips Performance index Lyapunov function Convergence |
| 本文献已被 CNKI 万方数据 等数据库收录！ | |