摘要
对于季节性时间序列具有增长性和波动性的二重趋势性,提出了季节性预测的组合灰色神经网络模型,研究了同时考虑两种(非线性)趋势的复杂季节性预测问题,给出了一个应用实例,为季节性预测提供了一种新的、有效的方法。
Because the seasonal time sequence presents the double trends of increasing and fluctuating, the combined gray neural network model for the seasonal forecast is proposed. The problem of complex seasonal forecast with double nonlinear trends is investigated and the application case is also given. The new and effective method for the seasonal forecast is provided in this work.
出处
《华北电力大学学报(自然科学版)》
CAS
北大核心
2000年第4期1-6,共6页
Journal of North China Electric Power University:Natural Science Edition
基金
国家电力公司重点学科基金!(A98B03)