灰色神经网络预测算法在DMF回收过程中的应用

Application of Grey Neural network Forecasting Algorithm in DMF Reclaim Process

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.