2026-10-06 https://api.researchdata.se/oai-pmh

oai:researchdata.se:2025-219/1 2026-05-04 subject:ssif:20205 subject:ssif:20299 subject:ssif:10210 subject:ssif:102 subject:ssif:202 subject:ssif:1 subject:ssif:2 principal:slug:chalmers-university-of-technology

info:eu-repo/semantics/other http://purl.org/dc/dcmitype/Dataset https://doi.org/10.71870/8e3q-j519 Data for: GIANT Networks: Very Deep Fully-Connected Neural Networks Applied to Microwave Problems Data för: GIANT Networks: Very Deep Fully-Connected Neural Networks Applied to Microwave Problems Simon Stenmark 0000-0003-0851-2935 Signal Processing Signalbehandling Other Electrical Engineering, Electronic Engineering, Information Engineering Annan elektroteknik och elektronik Artificial Intelligence Artificiell intelligens 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 (https://numpy.org/). The complete descriptions of all variables contained in the data are found in the article. Detta dataset innehåller träning-, validering- och testdata för de två numeriska exemplen i artikeln "GIANT Networks: Very Deep Fully-Connected Neural Networks Applied to Microwave Problems" (Stenmark, Rylander, McKelvey & Ludvig-Osipov, 2026). Datat är skapat med hjälp av finita elementmetoden enligt beskrivning i artikeln och är lagrat i formatet NPZ som kan öppnas med Pythonbiblioteket NumPy (https://numpy.org/). Alla variabler i datasetet finns beskrivna i artikeln. info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/ Chalmers University of Technology Chalmers tekniska högskola 2026-02-10T09:47:13.501602Z eng