Neural Network Model Using Levenberg Marquardt Backpropagation Algorithm for the Prandtl Fluid Flow Over Stratified Curved Sheet

Kumar, Pradeep; Almeida, Felicita; Nagaraja, B.; Ajaykumar, A. R.; Al-Mdallal, Qasem

doi:10.1109/access.2024.3422099

IEEE Access

2024

DOI: 10.1109/access.2024.3422099

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Neural Network Model Using Levenberg Marquardt Backpropagation Algorithm for the Prandtl Fluid Flow Over Stratified Curved Sheet

Pradeep Kumar,

Felicita Almeida,

B. Nagaraja

et al.

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2024

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Cited by 3 publications

References 42 publications

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Rheological aspects of peristaltic flows in the presence of hybrid nanofluids considering the influence of porosity and dissipative effects

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Artificial Neural Network Model using Levenberg Marquardt Algorithm to Analyse Transient Flow and Thermal Characteristics of Micropolar Nanofluid in a Microchannel

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Artificial neural networks for stability analysis and simulation of delayed rabies spread models

Shafqat,

Alsaadi

2024

MATH

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<p>Rabies remains a significant public health challenge, particularly in areas with substantial dog populations, necessitating a deeper understanding of its transmission dynamics for effective control strategies. This study addressed the complexity of rabies spread by integrating two critical delay effects—vaccination efficacy and incubation duration—into a delay differential equations model, capturing more realistic infection patterns between dogs and humans. To explore the multifaceted drivers of transmission, we applied a novel framework using piecewise derivatives that incorporated singular and non-singular kernels, allowing for nuanced insights into crossover dynamics. The existence and uniqueness of solutions was demonstrated using fixed-point theory within the context of piecewise derivatives and integrals. We employed a piecewise numerical scheme grounded in Newton interpolation polynomials to approximate solutions tailored to handle singular and non-singular kernels. Additionally, we leveraged artificial neural networks to split the dataset into training, testing, and validation sets, conducting an in-depth analysis across these subsets. This approach aimed to expand our understanding of rabies transmission, illustrating the potential of advanced mathematical tools and machine learning in epidemiological modeling.</p>

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Neural Network Model Using Levenberg Marquardt Backpropagation Algorithm for the Prandtl Fluid Flow Over Stratified Curved Sheet

Cited by 3 publications

References 42 publications

Rheological aspects of peristaltic flows in the presence of hybrid nanofluids considering the influence of porosity and dissipative effects

Rheological aspects of peristaltic flows in the presence of hybrid nanofluids considering the influence of porosity and dissipative effects

Artificial Neural Network Model using Levenberg Marquardt Algorithm to Analyse Transient Flow and Thermal Characteristics of Micropolar Nanofluid in a Microchannel

Artificial neural networks for stability analysis and simulation of delayed rabies spread models

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