| 基于神经网络的硬质合金刀片槽型断屑范围的预报 |
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| 引用本文： | 陆涛,陈永洁.基于神经网络的硬质合金刀片槽型断屑范围的预报[J].硬质合金,1995,12(1):49-52. |
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| 作者姓名： | 陆涛 陈永洁 |
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| 作者单位： | 华中理工大学机械学院!湖北省武汉市430074 |
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| 摘 要： | 本文是在神经网络理论的基础上，对硬质合金刀片槽型进行了三维特征提取，并详细介绍了各类槽型的待征简化规则及依据，最后用神经网络进行预报，给出几种典型刀片的预报区域图。
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| 关 键 词： | BP神经网络 特征提取 断屑范围 |
THE PREDICTION OF CHIP-BREAKDOWN RANGE OF BREAKER IN CEMENTED CAEBIDE INSERTS BASED ON THE THEORY OF ARTIFICAL NEURAL NETWORKS |
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| Liu Tao, Chen Yongjie and Chen Jihong.THE PREDICTION OF CHIP-BREAKDOWN RANGE OF BREAKER IN CEMENTED CAEBIDE INSERTS BASED ON THE THEORY OF ARTIFICAL NEURAL NETWORKS[J].Cemented Carbide,1995,12(1):49-52. |
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| Authors: | Liu Tao Chen Yongjie and Chen Jihong |
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| Affiliation: | Huazhong University of Science and Technolog |
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| Abstract: | This paper based on the theory of the artifical neural networks (ANN), the features of the carbide groove are extracted,and the sinplified rules of the feature of the sorts are defined. At last,the chip of break range graphs of some typical grooves are forcasted. |
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| Keywords: | feature Extract Chip-Breakdown Range |
| 本文献已被 CNKI 维普 等数据库收录！ |
