怎样修改MATLAB已有代码中数据-RNN-VAE:混合预测系统。使用VAE获取与时间相关的系统的潜在状态。使用RNN（水库计算机）来发展潜伏
怎样修改MATLAB现有代码中数据RNN-VAE
混合预测系统。
使用VAE获取与时间相关的系统的潜在状态。
使用RNN（水库计算机）来发展潜伏力。
VAE可转换为预测。
基于通过MATLAB生成的综合数据
VAE基于现有的python
jupyter实现。
通过MATLAB更新RNN。
跑步：
运行Generate.m。
这将获得综合数据。
确保数据放置在root\n='..\n/\n..\n/\ndata\n/\nsynth'下，或修改python笔记本中的路径。
运行VAE.ipynb，第一部分。
这将生成模型参数，包括潜在变量。
将logvarout.csv，muout.csv加载到matlab中，或确保它与RNNClimateVae.m文件位于同一文件夹中
运行RNNClimateVAE.m。
这将对潜在变量生成预测。
每次运行的性能可能会有所不同。
如果性能良好，请在if（false）区域中运行最终代码块以保存预测
运行VAE.ipynb，第二部分。
这将从潜在预测中生成输出预测。
VAE.ipynb还有另外两个部分，需要进一步分析。
第三部分改变一个潜在方向，同时保持其他不变，从而了解
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