基于人工神经网络的高聚物流变性能预测系统  

Forecast System of Rheological Properties of Polymer Based on Artificial Neural Networks

作　　者：王洪波[1] 马万珍[1] 薛炳刚[1] 赵睿斌[1] 

机构地区：[1]内蒙古工业大学材料科学与工程学院,内蒙古呼和浩特010051

出　　处：《塑料工业》2006年第B05期195-196,200,共3页China Plastics Industry

摘　　要：针对影响高聚物流变性能因素的复杂性,利用VB与MATLAB混合编程将人工神经网络技术移植于应用软件,实现人工神经网络技术的各项功能,通过对采集的样本数据进行网络训练,开发了高聚物流变性能参数预测系统。经验证,系统可将预测精度误差,控制在5％以内。In view of the complexity of the affecting factors of the rheological properties of polymer, artificial neural networks technology was transplanted to the applied software by means of VB and MATLAB mixed programming, to achieve each function of artificial neural networks technology, resulted in development of forecast system of rhcological properties of polymer by means of the networks training of the collected sample data.

关 键 词：高聚物 流变性能 人工神经网络 预测 

分 类 号：TQ317[化学工程—高聚物工业]