# wqk666999/CNN-LSTM-Attention

<https://repo.masters-masters.com/en/repos/wqk666999/CNN-LSTM-Attention>

[Home](https://repo.masters-masters.com/en) › [wqk666999](https://repo.masters-masters.com/en/owners/wqk666999) › [CNN-LSTM-Attention](https://repo.masters-masters.com/en/repos/wqk666999/CNN-LSTM-Attention)

wqk666999/CNN-LSTM-Attention has 318 stars on GitHub. Its RepoMasters card: Alpha tier. 使用卷积神经网络-长短期记忆网络（bi-LSTM）-注意力机制对股票收盘价进行回归预测。The convolution neural…

| Field | Value |
| --- | --- |
| Owner | [wqk666999](https://repo.masters-masters.com/en/owners/wqk666999) |
| Stars | 318 |
| Forks | 47 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | None |
| Created | 2020 |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [wqk666999/CNN-LSTM-Attention](https://github.com/wqk666999/CNN-LSTM-Attention) |

## Repository

使用卷积神经网络-长短期记忆网络（bi-LSTM）-注意力机制对股票收盘价进行回归预测。The convolution neural network, short-term memory network and attention mechanism are used to predict the closing price.

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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