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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
Prediction of the Breaking Area of 3-D Chip Former Using RBF Neural Networks
【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。
【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.
【关键词】 RBF神经网络;
特征参数;
三维断屑槽;
断屑范围;
【Key words】 RBF neural networks; feature parameter; three dimensional chip-breaking groove; the breaking area;
【Key words】 RBF neural networks; feature parameter; three dimensional chip-breaking groove; the breaking area;
- 【文献出处】 硬质合金 ,Cemented Carbide , 编辑部邮箱 ,2005年02期
- 【分类号】TG711
- 【被引频次】5
- 【下载频次】51