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」

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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

主要指標

概覽
名稱與所有者jaungiers/LSTM-Neural-Network-for-Time-Series-Prediction
主編程語言Python
編程語言Python (語言數: 1)
平台Linux, Mac, Windows
許可證GNU Affero General Public License v3.0
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創建於2016-12-18 16:26:20
推送於2023-03-24 21:54:57
最后一次提交2019-04-30 16:05:34
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