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Data · dataset · 2023

deepsysid: System Identification Toolkit for Multistep Prediction using Deep Learning

Listed in DaRUS

deepsysid is a system identification toolkit for multistep prediction using deep learning and hybrid methods.

Description

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.

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Where it is published

Catalogue records · 1

Topics

From keywords
Engineering
Inferred from text
Machine learning 74%
Provenance · 1 source records, 10 field assertions
SourceKeyLast seenRaw
DaRUSdoi:10.18419/DARUS-345510 d agoJSON v1
FieldAssertionExtractorEvidence
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concepts[field].dataverse_subject:computer-and-information-sciencesource · darus uni stuttgart deconnector:darus_uni_stuttgart_de@1.0.0/subjects
concepts[field].dataverse_subject:engineeringsource · darus uni stuttgart deconnector:darus_uni_stuttgart_de@1.0.0/subjects
concepts[field].local:field:engineeringmapping · darus uni stuttgart deconnector:darus_uni_stuttgart_de@1.0.0/subjects
created_datesource · darus uni stuttgart deconnector:darus_uni_stuttgart_de@1.0.0
descriptionsource · darus uni stuttgart deconnector:darus_uni_stuttgart_de@1.0.0/description
publication_datesource · darus uni stuttgart deconnector:darus_uni_stuttgart_de@1.0.0
titlesource · darus uni stuttgart deconnector:darus_uni_stuttgart_de@1.0.0/name
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version_labelsource · darus uni stuttgart deconnector:darus_uni_stuttgart_de@1.0.0