Data-driven forward-inverse problems for Yajima–Oikawa system using deep learning with parameter regularization
Summary
Data-driven forward-inverse problems for Yajima–Oikawa system using deep learning with parameter regularization is a scholarly article[1].
Key Facts
Data-driven forward-inverse problems for Yajima–Oikawa system using deep learning with parameter regularization's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Data-driven forward-inverse problems for Yajima–Oikawa system using deep learning with parameter regularization. Retrieved May 24, 2026, from https://4ort.xyz/entity/data-driven-forward-inverse-problems-for-yajimaoikawa-system-using-deep-learning-with-parameter-regularization
MLA“Data-driven forward-inverse problems for Yajima–Oikawa system using deep learning with parameter regularization.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/data-driven-forward-inverse-problems-for-yajimaoikawa-system-using-deep-learning-with-parameter-regularization.
BibTeX@misc{4ortxyz_data-driven-forward-inverse-problems-for-yajimaoikawa-system-using-deep-learning-with-parameter-regularization_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Data-driven forward-inverse problems for Yajima–Oikawa system using deep learning with parameter regularization}}, year = {2026}, url = {https://4ort.xyz/entity/data-driven-forward-inverse-problems-for-yajimaoikawa-system-using-deep-learning-with-parameter-regularization}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Data-driven forward-inverse problems for Yajima–Oikawa system using deep learning with parameter regularization — https://4ort.xyz/entity/data-driven-forward-inverse-problems-for-yajimaoikawa-system-using-deep-learning-with-parameter-regularization (retrieved 2026-05-24)
