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Neural network emulator for atmospheric chemical ODE

Referentgranskad
Öppen tillgång
DOI
10.1016/j.neunet.2024.107106
Liu, Zhi-Song; Clusius, Petri; Boy, Michael
Neural networks2025

Gradient-based training and pruning of radial basis function networks with an application in materials physics

Referentgranskad
Öppen tillgång
DOI
10.1016/j.neunet.2020.10.002
Määttä, Jussi; Bazaliy, Viacheslav; Kimari, Jyri ; Djurabekova, Flyura; Nordlund, Kai; Roos, Teemu
Neural Networks2021

Improved Training of Physics-Informed Neural Networks with Model Ensembles

Referentgranskad
Öppen tillgång
DOI
10.1109/IJCNN54540.2023.10191822
Haitsiukevich, Katsiaryna; Ilin, Alexander
Proceedings of International Joint Conference on Neural Networks2023

Two Dimensional Estimation of Speed Flow Relationships with Backpropagation Neural Networks

Referentgranskad
Pursula, M.
Ashgate Publishing1998

On MCMC sampling in Bayesian MLP neural networks

Referentgranskad
Vehtari, Aki; Särkkä, Simo; Lampinen, Jouko
IEEE International Joint Conference on Neural Networks (IJCNN)2000

Learning Trajectories of Hamiltonian Systems with Neural Networks

Referentgranskad
Öppen tillgång
DOI
10.1007/978-3-031-15919-0_47
Haitsiukevich, Katsiaryna; Ilin, Alexander
Lecture Notes in Computer Science2022

Modeling of thermodynamic properties of substances by neural networks

Referentgranskad
Lilja, Reijo; Hämäläinen, Jari
International Joint Conference on Neural Networks, IJCNN'991999

Training Deep Neural Networks with Different Datasets In-the-wild: The Emotion Recognition Paradigm

Referentgranskad
Öppen tillgång
DOI
10.1109/IJCNN.2018.8489340
Kollias, D.; Zafeiriou, S.
Proceedings of International Joint Conference on Neural Networks2018

Neural Networks for Analysis of Financial Statements

Referentgranskad
DOI
10.1142/9789812813312_0005
Kiviluoto, Kimmo; Bergius, P.; Maaranen, Jyrki
WORLD SCIENTIFIC2000

Epileptic Activity Detection in EEG with Neural Networks

Referentgranskad
Varsta, Markus; Heikkonen, J.Millan
-1997

Neural network emulator for atmospheric chemical ODE

Referentgranskad
Öppen tillgång
DOI
10.1016/j.neunet.2024.107106
2025

Gradient-based training and pruning of radial basis function networks with an application in materials physics

Referentgranskad
Öppen tillgång
DOI
10.1016/j.neunet.2020.10.002
2021

Improved Training of Physics-Informed Neural Networks with Model Ensembles

Referentgranskad
Öppen tillgång
DOI
10.1109/IJCNN54540.2023.10191822
2023

Two Dimensional Estimation of Speed Flow Relationships with Backpropagation Neural Networks

Referentgranskad
1998

On MCMC sampling in Bayesian MLP neural networks

Referentgranskad
2000

Learning Trajectories of Hamiltonian Systems with Neural Networks

Referentgranskad
Öppen tillgång
DOI
10.1007/978-3-031-15919-0_47
2022

Modeling of thermodynamic properties of substances by neural networks

Referentgranskad
1999

Training Deep Neural Networks with Different Datasets In-the-wild: The Emotion Recognition Paradigm

Referentgranskad
Öppen tillgång
DOI
10.1109/IJCNN.2018.8489340
2018

Neural Networks for Analysis of Financial Statements

Referentgranskad
DOI
10.1142/9789812813312_0005
2000

Epileptic Activity Detection in EEG with Neural Networks

Referentgranskad
1997