文件名称:time-series-forecasting-keras-master
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基于ARIMA模型和LSTM模型，提出一种高性能得时间序列预测算法(Based on ARIMA model and LSTM model, a high performance time series prediction algorithm is proposed.)
相关搜索： 时间序列预测
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下载文件列表
| 文件名 | 大小 | 更新时间 |
|---|---|---|
| time-series-forecasting-keras-master | 0 | 2019-03-04 |
| time-series-forecasting-keras-master\.gitignore | 110 | 2019-03-04 |
| time-series-forecasting-keras-master\.idea | 0 | 2019-03-04 |
| time-series-forecasting-keras-master\.idea\big_data_forecasting.iml | 571 | 2019-03-04 |
| time-series-forecasting-keras-master\.idea\deployment.xml | 2223 | 2019-03-04 |
| time-series-forecasting-keras-master\.idea\misc.xml | 264 | 2019-03-04 |
| time-series-forecasting-keras-master\.idea\modules.xml | 292 | 2019-03-04 |
| time-series-forecasting-keras-master\.idea\vcs.xml | 180 | 2019-03-04 |
| time-series-forecasting-keras-master\.idea\workspace.xml | 39328 | 2019-03-04 |
| time-series-forecasting-keras-master\ARIMA.py | 1473 | 2019-03-04 |
| time-series-forecasting-keras-master\README.md | 1139 | 2019-03-04 |
| time-series-forecasting-keras-master\decompose_MLP_forecasting.py | 2824 | 2019-03-04 |
| time-series-forecasting-keras-master\decompose_RNN_forecasting.py | 3431 | 2019-03-04 |
| time-series-forecasting-keras-master\decompose_SVR_forecasting.py | 2397 | 2019-03-04 |
| time-series-forecasting-keras-master\deprecated | 0 | 2019-03-04 |
| time-series-forecasting-keras-master\deprecated\analyse.py | 836 | 2019-03-04 |
| time-series-forecasting-keras-master\deprecated\ensmble RNNs.py | 3111 | 2019-03-04 |
| time-series-forecasting-keras-master\deprecated\naive_stateful_RNNs_forecasting.py | 3003 | 2019-03-04 |
| time-series-forecasting-keras-master\deprecated\stateful_RNNs.py | 1689 | 2019-03-04 |
| time-series-forecasting-keras-master\deprecated\testGPU.py | 625 | 2019-03-04 |
| time-series-forecasting-keras-master\deprecated\trash | 2940 | 2019-03-04 |
| time-series-forecasting-keras-master\deprecated\var_season_RNN_forecasting.py | 2115 | 2019-03-04 |
| time-series-forecasting-keras-master\eval.py | 544 | 2019-03-04 |
| time-series-forecasting-keras-master\models | 0 | 2019-03-04 |
| time-series-forecasting-keras-master\models\MLP.py | 888 | 2019-03-04 |
| time-series-forecasting-keras-master\models\RNNs.py | 2000 | 2019-03-04 |
| time-series-forecasting-keras-master\models\SVR.py | 692 | 2019-03-04 |
| time-series-forecasting-keras-master\models\__init__.py | 0 | 2019-03-04 |
| time-series-forecasting-keras-master\models\decompose.py | 863 | 2019-03-04 |
| time-series-forecasting-keras-master\naive_MLP_forecasting.py | 2563 | 2019-03-04 |
| time-series-forecasting-keras-master\naive_RNN_forecasting.py | 3618 | 2019-03-04 |
| time-series-forecasting-keras-master\naive_SVR_forecasting.py | 2302 | 2019-03-04 |
| time-series-forecasting-keras-master\subseries_plot.py | 1839 | 2019-03-04 |
| time-series-forecasting-keras-master\util.py | 5195 | 2019-03-04 |
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