基于人工神经网络的砂轮表面形貌的研究

Study on Configuration of Grinding-wheel Surface Based on Artificial Neural Network

应用BP神经网络建立砂轮修整参数与砂轮表面形貌之间的非线形关系模型,以此研究对砂轮修整效果的影响。经试验验证,预测结果具有良好的精度。

A no-linear model, which is established between dressing parameters with the configuration of the grinding-wheel surface by BP neural networks, is applied to study the effect on grinding-wheel dressing . The prediction results are found to be satisfactory in agreement with the experiment date.