【摘要】 应用人工神经网络系统理论 ,采用机器学习方法 ,建立了激光冲击区表面质量与激光能量 ( E)、脉宽( P)、和光斑直径 ( D)之间的非线性映射关系。对于新的激光参数 ,网络采用并行推理的方法预报出试件经冲击后的表面质量等级。实践表明 ,神经网络方法 ,具有较强的非线性动态处理的能力。更多还原

【Abstract】 With the application of artificial neural network theory and machine learning method,this paper establishes a nonlinear mapping between surface qualities of laser shock-processing zones and laser parameters such as energy,pulse duration,diameter of laser spot.Surface quality grades are predicted by means of the method parallel inference.The results show that the proposed method has strong ability for nonlinear dynamic processing.更多还原