A Quantitative Approach to Universal Numerical Integrators (UNIS) with Computational Application
Abstract In this paper, we examine the mathematics that makes it possible to couple a conventional numerical integrator (e.g., Euler, Runge-Kutta, among others) with some universal approximator of functions (e.g., artificial neural networks, fuzzy inference systems, among others). These hybrid struc...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer Nature
2024-11-01
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| Series: | Human-Centric Intelligent Systems |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s44230-024-00084-0 |
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