【摘要】 大数据背景下,如何进行项目投资关键影响因素的识别,并据此展开投资预测与分析,是电网投资管理的重要问题。综合运用主成分分析和多元回归模型,系统研究电力工程的投资影响因素,据此构建出基于BP神经网络模型并且经过粒子群算法优化的电力项目投资预测与分析模型,并进行相关实例应用。更多还原

【Abstract】 Under the background of big data,how to identify the key influencing factors of project investment and carry out investment forecasting and analysis accordingly is an important issue of power grid investment management. This paper uses the principal component analysis and the multiple regression model to study the inf luencing factors of power engineering investment. On the basis of the above,constructs the power project investment forecasting and analysis model based on BP neural network model and particle swarm optimization method,and carries on the related example application.更多还原