Trained ANN Parameters for Physics-inspired Artificial Neural Network for Dynamic System

Dataset

DOI

This dataset contains four .xlsx files containing trained values of the ANN weights and biases, along with the hyperparameter values at the end of the training (with noisy dataset). These four files correspond to four different regularization methods.

Identifier
DOI	https://doi.org/10.18419/darus-634
Metadata Access	https://darus.uni-stuttgart.de/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.18419/darus-634

Provenance
Creator	Praditia, Timothy
Publisher	DaRUS
Contributor	Nowak, Wolfgang; Walser, Thilo; Oladyshkin, Sergey
Publication Year	2020
Funding Reference	Deutsche Forschungsgemeinschaft EXC-2075 – 390740016
Rights	CC BY 4.0; info:eu-repo/semantics/openAccess; http://creativecommons.org/licenses/by/4.0
OpenAccess	true
Contact	Nowak, Wolfgang (Universität Stuttgart)

Representation
Resource Type	Dataset
Format	application/vnd.openxmlformats-officedocument.spreadsheetml.sheet; text/markdown
Size	19521; 19161; 19475; 18995; 3036
Version	1.0
Discipline	Earth and Environmental Science; Environmental Research; Geosciences; Natural Sciences; Physics