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
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.
neural networks (information technology)
neuronnät
Jacobians
Jacobimatriser
microwave circuits
microwave filters
microwave frequencies
microwave resonance
Landing page for the dataset
Landningssida för datasetet
Chalmers University of Technology
Chalmers tekniska högskola