Time-series-Forecasting-

所属分类:人工智能/神经网络/深度学习
开发工具:matlab
文件大小:9944KB
下载次数:6
上传日期:2019-12-28 11:07:47
上 传 者MR.TanGG
说明:  通过人工神经网络与自回归滑动平均模型的结合来进行预测,将历史时间序列作为输入,下一时刻的预测值作为输出
(By combining the artificial neural network with the autoregressive moving average model, the historical time series is taken as the input and the prediction value of the next time is taken as the output)

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THE DATA SET WAS USED IN 'TRENDS AND RANDOM WALKS IN MACROECONOMIC TIME SERIES; SOME EVIDENCE AND IMPLICATIONS' BY CHARLES R. NELSON AND CHARLES I. PLOSSER PUBLISHED IN JOURNAL OF MONETARY ECONOMICS 10 (1***2) P 139-162. NORTH HOLLAND PUBLISHING COMPANY Acknowledgment: I would like to thank Charles Nelson for sending this data to me via e-mail. Brief Summary Of The Data Files In The Directory mhsets/cnelson 1. BND.1 Bond yield, U.S., 1900-1970, annual 2. CPI.1 CPI, U.S., 1860-1970, annual 3. EMP.1 Employment, U.S., 1860-1970, annual 4. GNP.1 Nominal GNP, U.S., 1909-1970, annual 5. IP.1 Industrial production, U.S., 1860-1970, annual 6. M.1 Money Stock, U.S., 1889-1970, annual 7. PCRGNP.1 Real per capita GNP, U.S., 1909-1970, annual 8. PRGNP.1 GNP deflator, U.S., 1909-1970, annual 9. RGNP.1 Real GNP, U.S., 1909-1970, annual 10. RWG.1 Real wages, U.S., 1900-1970, annual 11. SP500.1 Common stock prices, U.S., 1871-1970, annual 12. UN.1 Employment, U.S., 1860-1970, annual 13. VEL.1 Velocity of money, 1869-1970, annual 14. WG.1 Wages, U.S., 1900-1970, annual

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