Intelligent Bayesian regularization networks for bio-convective nanofluid flow model involving gyro-tactic organisms with viscous dissipation, stratification and heat immersion

Intelligent Bayesian regularization networks for bio-convective nanofluid flow model involving gyro-tactic organisms with viscous dissipation, stratification and heat immersion

In the current study, a novel intelligent numerical computing paradigm based upon the foundation of the artificial neural networks legacy involving the Bayesian regularization (ANN-BR) approach has been implemented for the investigation of the non-uniform heat preoccupation process with the bio-conv...

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Bibliographic Details
Main Authors: Saeed Ehsan Awan, Muhammad Asif Zahoor Raja, Muhammad Awais, Chi-Min Shu
Format: Article
Language:English
Published: Taylor & Francis Group 2021-01-01
Series:Engineering Applications of Computational Fluid Mechanics
Subjects:
backpropagated neural network
bayesian regularization
gyro-tactic microrganism
bio-convective stratified nanofluid flow
Online Access:http://dx.doi.org/10.1080/19942060.2021.1974946

Internet

http://dx.doi.org/10.1080/19942060.2021.1974946

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