Experiments have shown that the proposed neural network based approach outperforms the traditional tolerance analysis model when the distributions of part tolerances are uniform, Weibull or mixed.

• 研究结果显示当零件公差是均匀分配、韦柏分配或混合分配时，本研究提出运用类神经网路来预测产品公差分析的误差优于传统公差分析的误差。