【摘要】 注塑工艺参数和塑料件质量之间的关联模型常采用神经网络建立,然而训练样本不足将直接影响模型的质量。为了在适量训练样本条件下得到较好的预测模型,对原始样本数据进行信息扩散处理,然后使用神经网络建模。笔者以汽车音响面板为例建立预测模型,确定了最佳工艺参数,证明了该方法的有效性。更多还原

【Abstract】 Neural Network was widely used to uncover the relationship between injection molding process parameters and part quality.However,the number of training samples was a non-negligible factor which seriously affected the accuracy of the prediction model.To generate better model with certain samples,the information diffusion theory to derive new patterns for training the network was applied.Using the automobile sounder faceplate as the example,the best process parameters was achieved and the effectiveness of this method was proved.更多还原