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Sankore

Named after the University of Sankore in Timbuktu — one of the world’s oldest centres of learning. Every figure here is computed from work-level records in our own graph, never copied from a source’s summary count.

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Leveraging feed-forward neural networks to enhance the hybrid block derivative methods for system of second-order ordinary differential equations

2024Journal of Computational Mathematics and Data ScienceJournalOpen access

10.1016/j.jcmds.2024.100101 Full text6 citations

Authors

3 authors across 3 institutions in 2 countries.

Sabastine EmmanuelFirst author
- Federal University Lokoja (NG)
Saratha SathasivamCorresponding
M.O. OgunniranSenior author
- Osun State University (NG)
as printed: Muideen O. Ogunniran

Fields

Assignment is probabilistic — a work belongs to several fields in proportions.

Numerical methods for differential equationslevel 3 · 1.00
Model Reduction and Neural Networkslevel 3 · 0.99
Fractional Differential Equations Solutionslevel 3 · 0.99

Sources

Several sources describing one work is the point — it means the record rests on more than one authority.

openalexseen September 9, 2026
2024 · Journal of Computational Mathematics and Data Science · 6 citations
https://openalex.org/W4402675365

Leveraging feed-forward neural networks to enhance the hybrid block derivative methods for system of second-order ordinary differential equations · Sankore