Combining First Principles and Neural Network Models for Interpretable, High-Precision Multi-Step Predictions (InMotion)
Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

61 to 70 of 214 Results
test_execution.py
May 15, 2023 - deepsysid: System Identification Toolkit for Multistep Prediction using Deep Learning
Python Source Code - 2.4 KB - MD5: fdaf3f962f529c5b2608e637ee59c3a8
test_experiment_session_manager.py
May 15, 2023 - deepsysid: System Identification Toolkit for Multistep Prediction using Deep Learning
Python Source Code - 5.7 KB - MD5: 790ff8976b01f669dcd05d289b372071
test_get_parameter_count.py
May 15, 2023 - deepsysid: System Identification Toolkit for Multistep Prediction using Deep Learning
Python Source Code - 2.5 KB - MD5: 6488db8db9b510fbeae84fc35c18c1b3
test_metrics.py
May 15, 2023 - deepsysid: System Identification Toolkit for Multistep Prediction using Deep Learning
Python Source Code - 1.3 KB - MD5: 06511ff98b98bf98f679c33b1179556c
test_pipeline.py
May 15, 2023 - deepsysid: System Identification Toolkit for Multistep Prediction using Deep Learning
Python Source Code - 17.2 KB - MD5: 0a2c2a169159ea62664dfc2a6155aede
training.py
May 15, 2023 - deepsysid: System Identification Toolkit for Multistep Prediction using Deep Learning
Python Source Code - 1.8 KB - MD5: 6dcaea21954533babca4485ab68ff3c5
utils.py
May 15, 2023 - deepsysid: System Identification Toolkit for Multistep Prediction using Deep Learning
Python Source Code - 858 B - MD5: dfab9a18386d757cb2754359f829ef2f
utils.py
May 15, 2023 - deepsysid: System Identification Toolkit for Multistep Prediction using Deep Learning
Python Source Code - 1.6 KB - MD5: 7aeab929b009e68f9371f32ba28e7608
Supplements for "ReLiNet: Stable and Explainable Multistep Prediction with Recurrent Linear Parameter Varying Networks""
May 15, 2023
Baier, Alexandra; Aspandi, Decky; Staab, Steffen, 2023, "Supplements for "ReLiNet: Stable and Explainable Multistep Prediction with Recurrent Linear Parameter Varying Networks""", https://doi.org/10.18419/DARUS-3457, DaRUS, V1
This repository contains the necessary scripts to reproduce the results from our paper "ReLiNet: Stable and Explainable Multistep Prediction with Recurrent Linear Parameter Varying Networks". See the README file for more information. The most current version of this software is available on Github.
explain_best_models_industrial_robot.py
May 15, 2023 - Supplements for "ReLiNet: Stable and Explainable Multistep Prediction with Recurrent Linear Parameter Varying Networks""
Python Source Code - 1.4 KB - MD5: 38d98ca50ea8ad61f08426d7511b0414
Add Data

Log in to create a dataverse or add a dataset.

Log In
Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.