改进的灰色预测算法在工业应用中的评价

Evaluation of Improved Grey Forecasting Algorithm in Industrial Applications

基于改进灰色模型预测精度的思想,给出了一种改进的灰色模型预测算法。采用加权方法生成新的数据进行累加建模,并在求解过程中改变初始条件。采集了某化工回收过程中的实际数据,通过Matlab语言进行了算法的验证,结果表明此改进算法在参数预测精度上有了较大的提高。

Based on ideals of improving on forecasting precision of the grey model, an improved grey forecasting algorithm was given. The model was built by using data accumulation with weighted method and changing the initial conditions in calculating process. By Mat lab to practical data of a chemical reclaim process, the result shows that the algorithm is effective on improving parameter forecasting precision.