基于萤火虫算法的神经网络CPI预测模型

摘要

This paper uses firefly algorithm to train neural network model using for predicting consumer price index It specifies the model constructing process, train method and simulation By collecting data from Statistics Bureau, the papers sets up an algorithm model in matlab and calculate the simulating result It proves to be good in accuracy and satisfies the predicting standard The work will be positive in the macroeconomic policy decision%通过萤火虫算法来训练神经网络模型,将模型运用于消费者物价指数(CPI)的预测.阐述模型的建立,训练优化和仿真方法.收集国家统计局的统计数据,通过matlab建立算法模型,得到仿真结果.实验证明模型具有较高的预测精度,满足预测要求,对于未来我国的经济调控具有一定意义.