| RBF神经网络在可转位三维槽型刀片断屑范围预测中的应用 |
| |
| 引用本文： | 朱丹丹,陈永洁,吴克忠,刘石头. RBF神经网络在可转位三维槽型刀片断屑范围预测中的应用[J]. 硬质合金, 2005, 22(2): 96-99 |
| |
| 作者姓名： | 朱丹丹 陈永洁 吴克忠 刘石头 |
| |
| 作者单位： | 华中科技大学,湖北,武汉,430074 |
| |
| 摘 要： | 介绍了RBF神经网络的建模方法和算法。研究了RBF神经网络在可转位三维槽型刀片的断屑范围预测中的应用。试验表明,此模型具有良好的适应性和较高的预测准确率。
|
| 关 键 词： | RBF神经网络 特征参数 三维断屑槽 断屑范围 |
Prediction of the Breaking Area of 3-D Chip Former Using RBF Neural Networks |
| |
| Zhu Dandan,Chen Yongjie,Wu Kezhong,Liu Shitou. Prediction of the Breaking Area of 3-D Chip Former Using RBF Neural Networks[J]. Cemented Carbide, 2005, 22(2): 96-99 |
| |
| Authors: | Zhu Dandan Chen Yongjie Wu Kezhong Liu Shitou |
| |
| Abstract: | The algorithm and the model building of Radius Basis Function neural networks are introduced. A study was made on prediction of the breaking area of 3-D chip former using RBF neural networks. It is indicated by experiments that the prediction accuracy and the adaptability of the model are fine. |
| |
| Keywords: | RBF neural networks feature parameter three dimensional chip-breaking groove the breaking area |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
|
