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基于TSA-BP神经网络的企业产品市场占有率预测模型
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摘要:
在分析了现有的各种市场占有率预测模型的基础上,把产品市场占有率的时间序列作为BP神经网络的输入与输出,建立了预测模型,并对1999年部分品牌彩电的市场占有率进行了实证分析,结果表明,所建模型具有很高的预测精度,是一种值得推广的预测方法。
关键词:  市场占有率 神经网络 企业 产品 时间序列分析
DOI:
基金项目:国家自然科学基金资助项目
A Forecasting Model on the Market Share of the Enterprise Product Based on Time Series Analysis-Back Propagation Neural Network
Abstract:
Based on the analysis of all existed models of forecasting market share. A back propagation neural network model is provided which is characterized by the input and output of time series of market share. At last the model is tested with the data on market share of some color TV brands in 1999. The result shows that the forecasting precision of this model is very high. And this model is worth spreading.
Key words:  market share,time series analysis,artificial neural netw