Levenberg‐Marquardt backpropagation algorithm for parameter identification of solid oxide fuel cells
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DOI: 10.1002/er.6929
Abstract: Fast and precise identification of several unknown parameters for solid oxide fuel cell (SOFC) models play a critical role in modeling analysis, optimal control, and behavior prediction. However, inherent high‐nonlinear, multi‐variable, and strongly coupled features… read more here.
Keywords: parameter identification; levenberg marquardt; solid oxide; oxide fuel ... See more keywords
Computational intelligence approach using Levenberg–Marquardt backpropagation neural networks to solve the fourth-order nonlinear system of Emden–Fowler model
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DOI: 10.1007/s00366-021-01427-2
Abstract: The present investigations are related to design an integrated computing numerical approach through Levenberg–Marquardt backpropagation (LMB) neural networks (NNs), i.e., LMB-NNs. The designed LMB-NNs approach is presented to solve the fourth-order nonlinear system of Emden–Fowler… read more here.
Keywords: marquardt backpropagation; levenberg marquardt; lmb nns; solve fourth ... See more keywords