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逆向工程中基于BP网络的自动特征识别器的设计与实现

Design and Implementation of an Automatic Feature Recognizer Based on BP Network in Reverse Engineering

  • 摘要: 应用BP网络技术设计了一种具有良好扩展性的基于前向反馈网络的自动特征识别器.该特征识别器能依据从三角网格模型中提取的输入信号自动识别出机械零件中常见的凸块、圆台、型腔、圆孔、台阶、直槽、T型槽、燕尾槽、V型槽等几何特征,并具有响应速度快、适应性广等优点.

     

    Abstract: In this paper artificial neuron network(ANN) technique is applied to automatic recognition of features in reverse engineering, and a kind of automatic feature recognizer is designed with good extendibility based on BP network. According to input signals derived from triangular mesh models, the feature recognizer can automatically recognize the geometric features such as generic block, boss, pocket, hole, step, slot, T-shape groove, swallow-tailed groove and V-shape groove. The proposed feature recognizer shows its characteristics of swift response and good adaptability.

     

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