A repository for autoregressive prediction via LSTM or some other ANN.
目前已发布版本:
| 更新日志 | 日期 | 更新内容 |
|---|---|---|
| bp | 2019-12-09 | 发布bp网络的实现 |
| lstm_normal | 2019-12-10 | 发布基本lstm网络的实现 |
| lstm_radam_non_warmup | 2019-12-11 | 发布lstm+RAdam版本 |
| lstm_radam_warmup | 2019-12-11 | 发布lstm+RAdam+warmup版本 |
① 项目开发了FftUtils工具类, 提供大量与傅里叶变换相关的实用方法(滤波, 提取基波等);
② 项目提供了LstmUtils工具类, 提供构建LSTM等神经网络相关的数据处理, 神经网络构建相关的方法;
③ 整个项目的神经网络结构, 输入等均可通过config.json配置, 便于针对神经网络进行调参等操作;
时域预测结果:
频域预测结果:
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