人工神经网络纱线质量预报模型的实用化

The Practicality of the Artificial Neural Network Model for Predicton the Quality of Yarn

介绍了纱线质量预报的神经网络模型的实用化,一些不足方面的具体改进,如输入参数筛选的方法、数据归一化时的技巧及神经网络质量预报系统的界面化等,并简介了网络补充训练子系统。

The paper introduces the practicality of the artificial neural model for prediction the quality of yarn, the concrete improvement of the some deficiency aspect. For instance, the method to input parameters, the skill of the unitariness of the data, interface of the artificial neural network system and simple introduces the complementary trainings subsystem.