基于BP神经网络的广东省第三产业就业人口数量预测研究

Study on forecast of number of employment population of tertiary industry in Guangdong province based on BP neural network

宏观经济政策的制定必然要参照各次产业发展水平,故研究产业发展规模变化趋势就显得十分必要。文章通过BP神经网络,对广东省第三产业就业人口数量进行分析,并以2016年的《广东省统计年鉴》提供的数据为依据建立预测模型,结果表明:该模型最大误差为5.26%,满足预期要求,实际值和预测值的拟合关系较为理想,证实了所述方法的有效性。

The formulation of macroeconomic should consult the industry development level, so it is very necessary to stuay me development trend of industry. This paper analyzes the tertiary industrial number of employment population in Guangdong province based on BP neural network. According to data from ＂Guangdong Statistical Yearbook＂ of 2016, the forecasting model is established. The research results of the forecasting model shows that the maximum error of this model is 5.26%, meeting the expected requirement. The predicted results are in good agreement with the actual data, proving the effectiveness of the method.