2023
DOI: 10.1016/j.icheatmasstransfer.2023.106956
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An artificial intelligence model for heat and mass transfer in an inclined cylindrical annulus with heat generation/absorption and chemical reaction

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Cited by 22 publications
(2 citation statements)
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“…The multi-layer perceptron (MLP) network is one of the oen-employed ANN models. [41][42][43][44][45] This ANN has an input layer, an output layer, and at least one hidden layer. A neuron is a computational component found in interconnected layers.…”
Section: Artificial Neural Network Modellingmentioning
confidence: 99%
“…The multi-layer perceptron (MLP) network is one of the oen-employed ANN models. [41][42][43][44][45] This ANN has an input layer, an output layer, and at least one hidden layer. A neuron is a computational component found in interconnected layers.…”
Section: Artificial Neural Network Modellingmentioning
confidence: 99%
“…Srinivasacharya and Kumar 34 examined Casson fluid flow past a radial SS using the ANN approach. The heat transport attributes of the fluid flow using the ANN scheme were studied by Sedani et al 35 Recently, 36–40 have utilized the LM backpropagating algorithm to analyze the thermal and mass transmission characteristics in vertical geometries such as a vertical channel, vertical annulus and inclined annulus under significant effects such as heat generation/absorption, heat sources/sinks, chemical reactions and thermal non-equilibrium conditions.…”
Section: Introductionmentioning
confidence: 99%