Prediction of Consumer Price Index Based on RBF Neural Network

被引：0
|
作者：
Du, Yulin [1 ,2 ]
机构：
[1] Fudan Univ, Sch Management, Shanghai 200433, Peoples R China
[2] East China Univ Polit & Sci Law, Dept Finance, Shanghai 201620, Peoples R China
来源：
PROCEEDINGS OF THE 30TH CHINESE CONTROL AND DECISION CONFERENCE (2018 CCDC) | 2018年
关键词：
CPI; RBF Neural Network; Prediction;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Consumer price index (CPI) is a very important index in macroeconomics. In this paper,we predict CPI using four methods : single linear regression, multiple linear regression, BP neural network and REF neural network.We compare the prediction accuracy of these models, finding that RBF neural network has the best prediction effect among these four models,the second is the BP neural network method which indicating there are strong nonlinear in consumer price index, we should use nonlinear model to predict CPI.
引用
收藏
页码：2858 / 2861
页数：4
相关论文
共 50 条
  • [1] Application of Process Neural Network on Consumer Price Index Prediction
    Ge, Li
    Yin, Guisheng
    [J]. 2010 INTERNATIONAL COLLOQUIUM ON COMPUTING, COMMUNICATION, CONTROL, AND MANAGEMENT (CCCM2010), VOL II, 2010, : 371 - 373
  • [2] Application of Process Neural Network on Consumer Price Index Prediction
    Ge, Li
    Yin, Guisheng
    [J]. AFFECTIVE COMPUTING AND INTELLIGENT INTERACTION, 2012, 137 : 427 - +
  • [3] Stock price prediction by RBF neural network
    Huang, Guanghui
    Wa, Jianpin
    [J]. DYNAMICS OF CONTINUOUS DISCRETE AND IMPULSIVE SYSTEMS-SERIES B-APPLICATIONS & ALGORITHMS, 2007, 14 : 119 - 125
  • [4] The RBF neural network prediction for futures contract price
    Wang, Mengdong
    Chen, Wenjing
    [J]. DCABES 2007 Proceedings, Vols I and II, 2007, : 620 - 622
  • [5] Agricultural products price prediction based on improved RBF neural network model
    Wang, Yijia
    [J]. APPLIED ARTIFICIAL INTELLIGENCE, 2023, 37 (01)
  • [6] Price Prediction based Congestion Management using Growing RBF Neural Network
    Pandey, Seema N.
    Tapaswi, Shashikala
    Srivastava, Laxmi
    [J]. PROCEEDINGS OF THE INDICON 2008 IEEEE CONFERENCE & EXHIBITION ON CONTROL, COMMUNICATIONS AND AUTOMATION, VOL II, 2008, : 482 - +
  • [7] Statistical Models and Granular Soft RBF Neural Network for Malaysia KLCI Price Index Prediction
    Marcek, Dusan
    [J]. ADVANCES IN TIME SERIES ANALYSIS AND FORECASTING, 2017, : 401 - 412
  • [8] The Application of Stock Index Price Prediction with Neural Network
    Gao, Penglei
    Zhang, Rui
    Yang, Xi
    [J]. MATHEMATICAL AND COMPUTATIONAL APPLICATIONS, 2020, 25 (03)
  • [9] Consumer Price Index Forecasting Based on Univariate Time Series and a Deep Neural Network
    Rosado, Reynaldo
    Joan Abreu, Aldis
    Arencibia, Jose C.
    Gonzalez, Hector
    Hernandez, Yanio
    [J]. PROGRESS IN ARTIFICIAL INTELLIGENCE AND PATTERN RECOGNITION, 2021, 13055 : 33 - 42
  • [10] Stock Price Trend Prediction Based on RBF Neural Network and Artificial Fish Swarm Algorithm
    Wei Yanming
    Gan Xusheng
    Lei Lei
    [J]. 2017 INTERNATIONAL CONFERENCE ON MATERIALS, ENERGY, CIVIL ENGINEERING AND COMPUTER (MATECC 2017), 2017, : 210 - 215
12345