基于大数据思维实现全球三十国GDP总量分析与预测

Analysis and Predication of Total GDP of Thirty Countries in the World Based on Big Data

研究基于大量可实现性多维数据,选择SPSS软件,针对数据寻找与不同经济体国家之间相关性,对于全球GDP排名前三十国的GDP总量进行分析,并划分为不同类型的经济体,结合聚类分析结果并借助BP神经网络多隐含层变量分析法,实现前三十国GDP总量的分析与预测。最后,结合预测结果,对全球经济治理提出意见与建议。

The feasibility study based on a large number of multidimensional data,with the aid of SPSS software,in view of the data and looking for correlations between different economies,global GDP in the top thirty countries GDP analysis and divided into different types of economies,combining with clustering analysis results and with the aid of the BP neural network multi-hidden layer variable analysis method to realize a 30 countries analysis and prediction of the total GDP.Finally,combined with the forecast results,the paper puts forward feasible opinions and suggestions on global economic governance.