Schiassi, E.; De Florio, M.; D’Ambrosio, A.; Mortari, D.; Furfaro, R.
Physics-Informed Neural Networks and Functional Interpolation for Data-Driven Parameters Discovery of Epidemiological Compartmental Models. Mathematics 2021, 9, 2069.
https://doi.org/10.3390/math9172069
AMA Style
Schiassi E, De Florio M, D’Ambrosio A, Mortari D, Furfaro R.
Physics-Informed Neural Networks and Functional Interpolation for Data-Driven Parameters Discovery of Epidemiological Compartmental Models. Mathematics. 2021; 9(17):2069.
https://doi.org/10.3390/math9172069
Chicago/Turabian Style
Schiassi, Enrico, Mario De Florio, Andrea D’Ambrosio, Daniele Mortari, and Roberto Furfaro.
2021. "Physics-Informed Neural Networks and Functional Interpolation for Data-Driven Parameters Discovery of Epidemiological Compartmental Models" Mathematics 9, no. 17: 2069.
https://doi.org/10.3390/math9172069
APA Style
Schiassi, E., De Florio, M., D’Ambrosio, A., Mortari, D., & Furfaro, R.
(2021). Physics-Informed Neural Networks and Functional Interpolation for Data-Driven Parameters Discovery of Epidemiological Compartmental Models. Mathematics, 9(17), 2069.
https://doi.org/10.3390/math9172069