Author:
Sabir Zulqurnain,Said Salem Ben
Abstract
AbstractIn this study, a fractional order mathematical model using the romantic
relations of the Layla and Majnun is numerically simulated by the Levenberg–Marquardt
backpropagation neural networks. The fractional order derivatives provide more realistic
solutions as compared to integer order derivatives of the mathematical model based on
the romantic relationship of the Layla and Majnun. The mathematical formulation of this
model has four categories that are based on the system of nonlinear equations. The
exactness of the stochastic scheme is observed for solving the romantic mathematical
system using the comparison of attained and Adam results. The data for testing,
authorization, and training is provided as 15%, 75% and 10%, along with the twelve
numbers of hidden neurons. Furthermore, the reducible value of the absolute error
improves the accuracy of the designed stochastic solver. To prove the reliability of
scheme, the numerical measures are presented using correlations, error histograms, state
transitions, and regression.
Publisher
Springer Science and Business Media LLC
Cited by
6 articles.
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