Fourier neural operator for learning solutions to macroscopic traffic flow models: Application to the forward and inverse problems

Research article (Transportation Research Part C Emerging Technologies, 2024) · cited 15× · AI/ML
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Fourier neural operator for learning solutions to macroscopic traffic flow models: Application to the forward and inverse problems

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Fourier neural operator for learning solutions to macroscopic traffic flow models: Application to the forward and inverse problems is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Fourier neural operator for learning solutions to macroscopic traffic flow models: Application to the forward and inverse problems. Retrieved May 24, 2026, from https://4ort.xyz/entity/fourier-neural-operator-for-learning-solutions-to-macroscopic-traffic-flow-models-application-to-the-forward-and-inverse
MLA “Fourier neural operator for learning solutions to macroscopic traffic flow models: Application to the forward and inverse problems.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/fourier-neural-operator-for-learning-solutions-to-macroscopic-traffic-flow-models-application-to-the-forward-and-inverse.
BibTeX @misc{4ortxyz_fourier-neural-operator-for-learning-solutions-to-macroscopic-traffic-flow-models-application-to-the-forward-and-inverse_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Fourier neural operator for learning solutions to macroscopic traffic flow models: Application to the forward and inverse problems}}, year = {2026}, url = {https://4ort.xyz/entity/fourier-neural-operator-for-learning-solutions-to-macroscopic-traffic-flow-models-application-to-the-forward-and-inverse}, note = {Accessed: 2026-05-24}}
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