LSTM-Neural-Network-for-Time-Series-Prediction

使用 Keras Python 软件包构建的 LSTM 可预测时间序列的步骤和序列。 包括正弦波(sin wave)和股市数据。「LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data」

Github星跟踪图

LSTM Neural Network for Time Series Prediction

LSTM built using the Keras Python package to predict time series steps and sequences. Includes sine wave and stock market data.

Full article write-up for this code

Video on the workings and usage of LSTMs and run-through of this code

Requirements

Install requirements.txt file to make sure correct versions of libraries are being used.

  • Python 3.5.x
  • TensorFlow 1.10.0
  • Numpy 1.15.0
  • Keras 2.2.2
  • Matplotlib 2.2.2

Output for sine wave sequential prediction:

Output for sin wave sequential prediction

Output for stock market multi-dimensional multi-sequential predictions:

Output for stock market multiple sequential predictions

主要指标

概览
名称与所有者jaungiers/LSTM-Neural-Network-for-Time-Series-Prediction
主编程语言Python
编程语言Python (语言数: 1)
平台Linux, Mac, Windows
许可证GNU Affero General Public License v3.0
所有者活动
创建于2016-12-18 16:26:20
推送于2023-03-24 21:54:57
最后一次提交2019-04-30 16:05:34
发布数0
用户参与
星数5k
关注者数252
派生数2k
提交数20
已启用问题?
问题数89
打开的问题数42
拉请求数2
打开的拉请求数8
关闭的拉请求数16
项目设置
已启用Wiki?
已存档?
是复刻?
已锁定?
是镜像?
是私有?