deepsysid: System Identification Toolkit for Multistep Prediction using Deep Learning
收藏doi.org2023-05-15 更新2025-03-26 收录
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https://doi.org/10.18419/darus-3455
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资源简介:
deepsysid is a system identification toolkit for multistep prediction using deep learning and hybrid methods. The toolkit is easy to use. After you follow the instructions in the README, you will be able to download a dataset, run hyperparameter optimization and identify your best-performing multistep prediction models with just three commands: deepsysid download 4dof-sim-ship deepsysid session --enable-cuda progress.json NEW deepsysid session --enable-cuda --reportin=progress.json progress.json TEST_BEST The most current version of this software is available on GitHub.
deepsysid是一款采用深度学习和混合方法进行多步预测的系统识别工具包。该工具包操作简便。遵循README文件中的指导后,用户仅需通过三个命令即可下载数据集、执行超参数优化以及识别最佳性能的多步预测模型:deepsysid download 4dof-sim-ship deepsysid session --enable-cuda progress. NEW deepsysid session --enable-cuda --reportin=progress. progress. TEST_BEST。本软件的最新版本可在GitHub上获取。
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