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

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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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