Search Results - "Wikner, Alexander"

Using data assimilation to train a hybrid forecast system that combines machine-learning and knowledge-based components.

Authors: Wikner, Alexander Pathak, Jaideep Hunt, Brian R. et al.

Source: Chaos. May2021, Vol. 31 Issue 5, p1-11. 11p.

Stabilizing machine learning prediction of dynamics: Novel noise-inspired regularization tested with reservoir computing.

Authors: Wikner, Alexander Harvey, Joseph Girvan, Michelle et al.

Source: Neural Networks. Feb2024, Vol. 170, p94-110. 17p.

Subjects: Machine learning, Recurrent neural networks, Biologically inspired computing, Long-Term Evolution (Telecommunications)

Combining machine learning with knowledge-based modeling for scalable forecasting and subgrid-scale closure of large, complex, spatiotemporal systems.

Authors: Wikner, Alexander Pathak, Jaideep Hunt, Brian et al.

Source: Chaos. May2020, Vol. 30 Issue 5, p1-16. 16p. 6 Color Photographs, 5 Diagrams, 2 Charts, 4 Graphs.

Hybrid forecasting of chaotic processes: Using machine learning in conjunction with a knowledge-based model.

Authors: Pathak, Jaideep Wikner, Alexander Fussell, Rebeckah et al.

Source: Chaos. Apr2018, Vol. 28 Issue 4, pN.PAG-N.PAG. 9p. 2 Diagrams, 1 Chart, 7 Graphs.

Data-informed reservoir computing for efficient time-series prediction.

Authors: Köster, Felix Patel, Dhruvit Wikner, Alexander et al.

Source: Chaos; Jul2023, Vol. 33 Issue 7, p1-11, 11p

A Hybrid Approach to Atmospheric Modeling That Combines Machine Learning With a Physics‐Based Numerical Model.

Authors: Arcomano, Troy Szunyogh, Istvan Wikner, Alexander et al.

Source: Journal of Advances in Modeling Earth Systems. Mar2022, Vol. 14 Issue 3, p1-21. 21p.

Subject Terms: *General circulation model, *Climate research, *Humidity, Atmospheric models, Machine learning, Surface of the earth

A Hybrid Atmospheric Model Incorporating Machine Learning Can Capture Dynamical Processes Not Captured by Its Physics‐Based Component.

Authors: Arcomano, Troy Szunyogh, Istvan Wikner, Alexander et al.

Source: Geophysical Research Letters. 4/28/2023, Vol. 50 Issue 8, p1-10. 10p.

A Machine Learning‐Based Global Atmospheric Forecast Model.

Authors: Arcomano, Troy Szunyogh, Istvan Pathak, Jaideep et al.

Source: Geophysical Research Letters. 5/16/2020, Vol. 47 Issue 9, p1-9. 9p.

Squamous cell carcinoma of the oral cavity and circulating tumour cells.

Authors: Wikner J Gröbe A Pantel K et al.

Source: World journal of clinical oncology [World J Clin Oncol] 2014 May 10; Vol. 5 (2), pp. 114-24.

Publication Type: Journal Article; Review

Journal Info: Publisher: Baishideng Publishing Group Country of Publication: United States NLM ID: 101549149 Publication Model: Print Cited Medium: Print ISSN: 2218-4333 (Print) Linking ISSN: 22184333 NLM ISO Abbreviation: World J Clin Oncol Subsets: PubMed not MEDLINE