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- W2885671311 abstract "In this manuscript, the artificial neural networks approach involving generalized sigmoid function as a cost function, and three-layered feed-forward architecture is considered as an iterative scheme for solving linear fractional order ordinary differential equations. The supervised back-propagation type learning algorithm based on the gradient descent method, is able to approximate this a problem on a given arbitrary interval to any desired degree of accuracy. To be more precise, some test problems are also given with the comparison to the simulation and numerical results given by another usual method." @default.
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- W2885671311 date "2018-12-01" @default.
- W2885671311 modified "2023-10-14" @default.
- W2885671311 title "On artificial neural networks approach with new cost functions" @default.
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- W2885671311 doi "https://doi.org/10.1016/j.amc.2018.07.053" @default.
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