摘要
产品价格及需求受多种因素影响,变化趋势复杂,很难建立一个准确的数学模型进行全面描述.在对具有较大波动的周期性变化数据部分用各种灰色动态模型进行了预测比较后,提出了Verhulst对应周期动态新陈代谢模型.用此模型进行的灰色预测能不断将新信息引入算法,使预测更加接近最新的变化趋势,取得了较好的预测效果.
Prices and demands of various products are affected by many factors. It is difficult to set up an accurate mathematic model to describe their trends. After comparing several grey models＇ predictive results with periodical and fluctuating data, a new dynamic Verhulst metabolism model is set up. This model is able to produce new information to follow the new tendency to gain higher prediction effects.
出处
《信息与控制》
CSCD
北大核心
2005年第4期398-402,共5页
Information and Control
