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Data · dataset · 2026

Data for: GIANT Networks: Very Deep Fully-Connected Neural Networks Applied to Microwave Problems

Listed in Researchdata.se

Description

This dataset contains the samples of the training, validation and test data sets for the two numerical examples of the article ''GIANT Networks: Very Deep Fully-Connected Neural Networks Applied to Microwave Problems'' (Stenmark, Rylander, McKelvey & Ludvig-Osipov, 2026). All data is created using the finite element method as described in the article and is stored in the NPZ format which can be opened with the Python library NumPy (numpy.org/).

The complete descriptions of all variables contained in the data are found in the article.

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Where it is published

Catalogue records · 1

Topics

Provenance · 1 source records, 8 field assertions
SourceKeyLast seenRaw
Researchdata.seoai:researchdata.se:2025-219/15 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · researchdata seconnector:researchdata_se@1.0.0
concepts[field].local:field:computer-science-aimapping · researchdata seconnector:researchdata_se@1.0.0
concepts[field].local:field:earth-environmentalmapping · researchdata seconnector:researchdata_se@1.0.0
concepts[field].local:field:engineeringmapping · researchdata seconnector:researchdata_se@1.0.0
descriptionsource · researchdata seconnector:researchdata_se@1.0.0/metadata/dc/description
licensesource · researchdata seconnector:researchdata_se@1.0.0/metadata/dc/rights
publication_datesource · researchdata seconnector:researchdata_se@1.0.0
titlesource · researchdata seconnector:researchdata_se@1.0.0/metadata/dc/title