基于卡尔曼滤波的需求预

Application of Kalman Filtering Theory on Prediction of Need

针对客户订单与市场真实需求之间的差异,建立了基于卡尔曼滤波原理的社会需求预测模型,并利用某烟草公司的卷烟销售数据对模型进行验证分析,实证数据表明,该模型在一定程度上比较有效。

Because of the difference between order form and real need of market. The prediction need model is introduced through Kalman Filtering Theory, and made use of those data, which are sampled from one tobacco company to predict. The results from prediction show that the method based on Kalman Filtering Theory has some adaptability.