Abstract
The thermos-solutal convection in porous medium can be categorized as aiding and opposing flow depending upon the value of buoyancy ratio (N) which indicates the relative buoyancy between heat and mass transfer. The positive value of buoyancy ratio leads to aiding flow whereas the negative value of N results into different pattern of flow commonly known as opposing flow. The present article is an extension of the article to predict the thermos-solutal convection for aiding flow but to focus on opposing flow. The prediction is carried out a relatively new technique known as artificial neural network. The results are discussed with respect to the Nusselt as Sherwood number along the hot wall of cavity.
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