Time-series-Forecasting-

代码说明：

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)

文件列表：

Time-series-Forecasting-\.git, 0 , 2019-12-18
Time-series-Forecasting-\.git\config, 302 , 2019-12-18
Time-series-Forecasting-\.git\description, 73 , 2019-12-18
Time-series-Forecasting-\.git\HEAD, 23 , 2019-12-18
Time-series-Forecasting-\.git\hooks, 0 , 2019-12-18
Time-series-Forecasting-\.git\hooks\applypatch-msg.sample, 478 , 2019-12-18
Time-series-Forecasting-\.git\hooks\commit-msg.sample, 896 , 2019-12-18
Time-series-Forecasting-\.git\hooks\fsmonitor-watchman.sample, 3327 , 2019-12-18
Time-series-Forecasting-\.git\hooks\post-update.sample, 189 , 2019-12-18
Time-series-Forecasting-\.git\hooks\pre-applypatch.sample, 424 , 2019-12-18
Time-series-Forecasting-\.git\hooks\pre-commit.sample, 1638 , 2019-12-18
Time-series-Forecasting-\.git\hooks\prepare-commit-msg.sample, 1492 , 2019-12-18
Time-series-Forecasting-\.git\hooks\pre-push.sample, 1348 , 2019-12-18
Time-series-Forecasting-\.git\hooks\pre-rebase.sample, 4898 , 2019-12-18
Time-series-Forecasting-\.git\hooks\pre-receive.sample, 544 , 2019-12-18
Time-series-Forecasting-\.git\hooks\update.sample, 3610 , 2019-12-18
Time-series-Forecasting-\.git\index, 33058 , 2019-12-18
Time-series-Forecasting-\.git\info, 0 , 2019-12-18
Time-series-Forecasting-\.git\info\exclude, 240 , 2019-12-18
Time-series-Forecasting-\.git\logs, 0 , 2019-12-18
Time-series-Forecasting-\.git\logs\HEAD, 197 , 2019-12-18
Time-series-Forecasting-\.git\logs\refs, 0 , 2019-12-18
Time-series-Forecasting-\.git\logs\refs\heads, 0 , 2019-12-18
Time-series-Forecasting-\.git\logs\refs\heads\master, 197 , 2019-12-18
Time-series-Forecasting-\.git\logs\refs\remotes, 0 , 2019-12-18
Time-series-Forecasting-\.git\logs\refs\remotes\origin, 0 , 2019-12-18
Time-series-Forecasting-\.git\logs\refs\remotes\origin\HEAD, 197 , 2019-12-18
Time-series-Forecasting-\.git\objects, 0 , 2019-12-18
Time-series-Forecasting-\.git\objects\info, 0 , 2019-12-18
Time-series-Forecasting-\.git\objects\pack, 0 , 2019-12-18
Time-series-Forecasting-\.git\objects\pack\pack-b40e097cbdbbcc28e7c3c66cb42a3eebfb1ebccf.idx, 11544 , 2019-12-18
Time-series-Forecasting-\.git\objects\pack\pack-b40e097cbdbbcc28e7c3c66cb42a3eebfb1ebccf.pack, 4970709 , 2019-12-18
Time-series-Forecasting-\.git\packed-refs, 114 , 2019-12-18
Time-series-Forecasting-\.git\refs, 0 , 2019-12-18
Time-series-Forecasting-\.git\refs\heads, 0 , 2019-12-18
Time-series-Forecasting-\.git\refs\heads\master, 41 , 2019-12-18
Time-series-Forecasting-\.git\refs\remotes, 0 , 2019-12-18
Time-series-Forecasting-\.git\refs\remotes\origin, 0 , 2019-12-18
Time-series-Forecasting-\.git\refs\remotes\origin\HEAD, 32 , 2019-12-18
Time-series-Forecasting-\.git\refs\tags, 0 , 2019-12-18
Time-series-Forecasting-\Arima.pptx, 330242 , 2019-12-18
Time-series-Forecasting-\Autocorrelation.m, 447 , 2019-12-18
Time-series-Forecasting-\calc_residual.m, 517 , 2019-12-18
Time-series-Forecasting-\check.m, 3337 , 2019-12-18
Time-series-Forecasting-\file.txt, 2006 , 2019-12-18
Time-series-Forecasting-\file1.txt, 9629 , 2019-12-18
Time-series-Forecasting-\FRASER.1, 9676 , 2019-12-18
Time-series-Forecasting-\frasher River.txt, 2044 , 2019-12-18
Time-series-Forecasting-\input, 0 , 2019-12-18
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