摘要
基于灰色理论与神经网络相结合能改进预测精度的思想,本文阐述了灰色理论和神经网络相结合的技术。并将其应用到DMF回收过程中进行了仿真验证,通过Matlab语言进行了算法的验证,结果表明此改进算法比单一的灰色理论建模具有更好的效果。
Based on ideals of improving on forecasting precision of the combination grey theory and neural network, the technology of the combination was given. Then the algorithm was simulated by Mat lab using practical data of a chemical reclaim process, the result shows that the improved algorithm is more effective on improving parameter forecasting precision than single grey modeling.
出处
《微计算机信息》
北大核心
2005年第1期183-184,共2页
Control & Automation
关键词
DMF回收
灰色理论
神经网络
改进算法
仿真
DMF reclaim process
grey theory, neural network
improved algorithm
emulation