基于因子分析和神经网络的定价策略研究——以手机产品为例

Pricing Strategy Research Based on Factor Analysis and Neural Network——Taking the Mobile Phone as An Example

确定产品的市场价格是将新产品推向市场之前必须进行的一项重要工作,它对于产品的利润及市场定位具有重要意义。为进行更准确的新产品定价,文章采用因子分析方法对样本数据集进行降维并提取产品的特征属性,通过前馈式神经网络训练样本数据,提出基于因子分析和神经网络的新产品定价策略模型。从实验结果可以看出,该模型性能稳定,能够为新产品的定价提供指导作用。

Determine the market price is an important work before put the new product to the market, it has important significance to the profit and market posilioning of the product. For the more accurate new product pricing, this paper used factor analysis method to the sample data dimension reduction and extraction of product attributes, through neural network training data samples, pricing strategy model of new product based on factor analysis and neural network was presented. The experimental results showed that the model performance was stable, it could provide guidance for new product pricing.