陕西科技大学学报（自然科学版）Issue(3)：173-176,4.
基于 T-S 模糊神经网络组合模型的 CPI 预测
CPI forecasting based on combination model of T-S fuzzy neural network
摘要
Abstract
First ,in order to get the fitting and predicted values ,VAR model and semi-paramet-ric autoregressive model with exogenous variable are established about CPI and PPI series in the paper .Then ,T-S fuzzy neural network combination model is established combining the fuzzy mathematics and neural network based on two kinds of single model .Last ,three mod-els are compared in the paper .The result is that T-S fuzzy neural network improve the relia-bility and accuracy of forecasting results .关键词
VAR模型/加外生变量的半参数自回归模型/T-S模糊神经网络组合模型/隶属度函数Key words
VAR model/semi-parametric autoregressive model with exogenous variables/T-S fuzzy neural network combination model/membership function分类
数理科学引用本文复制引用
荀新新,张德生,王雁,杜方欣..基于 T-S 模糊神经网络组合模型的 CPI 预测[J].陕西科技大学学报（自然科学版）,2014,(3):173-176,4.基金项目
国家自然科学基金项目 （）
