Optimal artificial neural network for data driven methane steam reforming model using bfgs quasi-newton
Methane steam reforming (MSR) is a commonly utilized method of hydrogen synthesis, contributing significantly to the global supply. The Broyden-Fletcher-Goldfarb-Shanno (BFGS) Quasi-Newton method is an iterative technique for solving nonlinear optimization problems. This work investigates the use of...
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| Format: | Undergraduates Project Papers |
| Language: | en |
| Published: |
2024
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| Online Access: | https://umpir.ump.edu.my/id/eprint/47256/1/Optimal%20artificial%20neural%20network%20for%20data%20driven%20methane%20steam%20reforming%20model%20using%20bfgs%20quasi-newton.pdf https://umpir.ump.edu.my/id/eprint/47256/ |
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