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Chaotic Characteristics and the Application of SVM in the Tool Wear State Recognition

机译：混沌特性及SVM在工具磨损状态识别中的应用

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Shan Guan; Hongyang Pang; Zhenxing Kang;
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年度 2016
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1. Chaotic Characteristics and the Application of SVM in the Tool Wear State Recognition [J] . Shan Guan, Hongyang Pang, Zhenxing Kang MATEC Web of Conferences . 2016,第1期

机译：SVM在刀具磨损状态识别中的混沌特性及其应用
2. Chaotic Characteristics and the Application of SVM in the Tool Wear State Recognition [J] . Shan Guana, Hongyang Pang, Zhenxing Kang MATEC Web of Conferences . 2016,第6期

机译：SVM在刀具磨损状态识别中的混沌特性及其应用
3. Tool wear state recognition based on GWO-SVM with feature selection of genetic algorithm [J] . Liao Xiaoping, Zhou Gang, Zhang Zhenkun, The International Journal of Advanced Manufacturing Technology . 2019,第1a4期

机译：基于GWO-SVM的刀具磨损状态识别与遗传算法特征选择
4. Relationship analysis between chaotic characteristics of acoustic emission signal and tool wear condition [C] . Jianhui Xi, Wenlan Han, Yanmei Liu Third International Workshop on Advanced Computational Intelligence . 2010

机译：声发射信号混沌特性与刀具磨损状态的关系分析
5. Applications of convolutional neural networks to facial detection and recognition for augmented reality and wearable computing. [D] . Mitchell, Christopher. 2010

机译：卷积神经网络在增强现实和可穿戴计算的面部检测和识别中的应用。
6. An improved chaotic fruit fly optimization based on a mutation strategy for simultaneous feature selection and parameter optimization for SVM and its applications [O] . Fei Ye, Xin Yuan Lou, Lin Fu Sun -1

机译：改进的基于变异策略的混沌果蝇优化支持向量机同时特征选择和参数优化及其应用
7. Application of Differential Evolution Wavelet Neural Networks for State Recognition of Tool Wear [O] . Xiaoyun Wang 2016

机译：差分进化小波神经网络在刀具磨损状态识别中的应用

Chaotic Characteristics and the Application of SVM in the Tool Wear State Recognition

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