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deepsysid: System Identification Toolkit for Multistep Prediction using Deep Learning

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DaRUS2023-01-01 更新2026-04-16 收录
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https://darus.uni-stuttgart.de/citation?persistentId=doi:10.18419/darus-3455
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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.
创建时间:
2023-01-01
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