基于盲源分离的商业销售计算机仿真分析

Computer Simulation Analysis of Commercial Sales Based on Blind Source Separation

研究了盲源分离用于商业销售分析中的应用。传统的销售分析只是对销售数据进行简单的分析,得出一些表面的原因。并不能发现其中的深层的因素,盲源分离却正能实现这一传统方法难以实现的分离作用。采用盲源分离的特征向量分离算法进行了几个大型超市销量的特征向量分离算法的仿真分离实验,并对实验结果进行了分析研究,从而找到了影响商业销售量的几个重要因素,找出了影响销售量变化的几个重要原因。为商业销售中的日常管理找到了一条与传统管理不同的方法,为独立成分分析应用于销售市场分析提供了理论参考。

In this paper, the application of blind source separation in commercial sale analysis is studied. Traditional analysis of sale data is only a simple analysis, can only draw some of apparent reasons, and can not find the deep -seated factors. Blind source separation can achieve this difficult seperation purpose. The eigenvector separation algorithm is used to make separation experiments for several supermarkets and experimental results are analyzed to find the important factors affecting the commercial sales. Thus, a way for day - to - day management different from the traditional management is found.