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.
出处
《塑料工业》
CAS
CSCD
北大核心
2006年第B05期195-196,200,共3页
China Plastics Industry
关键词
高聚物
流变性能
人工神经网络
预测
Polymer
Rheological Properties
Artificial Neural Networks
Forcast
