Extreme theory of functional connections: A fast physics-informed neural network method for solving ordinary and partial differential equations Academic Article

authors

• Mortari, Daniele

published proceedings

• NEUROCOMPUTING

altmetric score

• 3

author list (cited authors)

• Schiassi, E., Furfaro, R., Leake, C., De Florio, M., Johnston, H., & Mortari, D.

citation count

• 27

complete list of authors

• Schiassi, Enrico||Furfaro, Roberto||Leake, Carl||De Florio, Mario||Johnston, Hunter||Mortari, Daniele

publication date

• January 2021

publisher

• Elsevier  Publisher

published in

• Neurocomputing  Journal

keywords

• Extreme Learning Machine
• Functional Interpolation
• Least-squares
• Numerical Methods
• Physics-informed Neural Networks
• Universal Approximator

Digital Object Identifier (DOI)

• 10.1016/j.neucom.2021.06.015

start page

• 334

end page

• 356

volume

• 457

URL

• http://dx.doi.org/10.1016/j.neucom.2021.06.015