2023
DOI: 10.1016/j.aej.2022.12.034
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Numerical treatment of squeezed MHD Jeffrey fluid flow with Cattaneo Chrisstov heat flux in a rotating frame using Levnberg-Marquard method

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Cited by 36 publications
(6 citation statements)
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“…To measure this predictive strength, several performance indicators are employed, such as mean squared error (MSE), the coefficient of determination (R 2 ), and error rate metrics. The equations used to calculate these performance indicators are outlined below [67,68]:…”
Section: Ann Modelmentioning
confidence: 99%
See 3 more Smart Citations
“…To measure this predictive strength, several performance indicators are employed, such as mean squared error (MSE), the coefficient of determination (R 2 ), and error rate metrics. The equations used to calculate these performance indicators are outlined below [67,68]:…”
Section: Ann Modelmentioning
confidence: 99%
“…Training of the MLP network is conducted until the gap between the predicted output and the target values reaches a minimum. For this study, the Levenberg-Marquardt algorithm, known for its quick processing and exceptional efficiency, is chosen as the preferred training method, as referenced in [68]. Additionally, the Tan-Sig function is employed as the activation function in the hidden layer, and the Purelin function is applied in the output layer of the ANN model.…”
Section: Ann Modelmentioning
confidence: 99%
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“…Diverse analytical and numerical methodologies are employed to gain valuable insights into system behavior, unraveling complexities inherent in the study. These approaches encompass the homotopy analysis method 36 38 , optimal homotopy asymptotic method 39 41 , Adomian decomposition method 42 , extended optimal homotopy asymptotic method 39 , the coupling of Runge-Kutta methods with the MATLAB neural network built-in function nftool 40 , 43 , the conjunction of the homotopy analysis method with the neural network MATLAB function nftool 40 , 44 , utilization of artificial neural networks 45 , the coupling of the MATLAB built-in function nftool with the homotopy asymptotic method 46 , and the combination of the Levenberg-Marquardt technique with the MATLAB neural network nftool 35 , 47 .…”
Section: Introductionmentioning
confidence: 99%