【摘要】 采用粒子群算法对镗孔加工尺寸误差人工神经网络预测模型进行优化。实验表明 ,与误差反传算法 (BP)相比较 ,粒子群算法优化神经网络收敛速度更快 ,预测精度更高更多还原

【Abstract】 This paper presented particle swarm optimization (PSO) technique to train multi layer artificial neural network for predicting model of diameter errors of boring processes. Compared to the back propagation (BP), the neural network trained by particle swarm optimization achieves more accurate predictions and needs less amount of iterations.更多还原