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Feed forward neural network and its reverse mapping aspects for the simulation of ginger drying kinetics CIGR Journal
Choudhary, Arun Kumar; Chakraborty, Sourav; Kumari, Sonam; Hazarika, Manuj K.
In the present study, simulation and modeling features of hot air based ginger drying kinetics were investigated by applying artificial neural system (ANN) and its reverse mapping aspects. Mapping of moisture ratio (MR) of the drying process as a function of temperature of drying (TD), slice thickness (ST) and drying time (DT) was accomplished based on the ANN architecture. A tale strategy of reverse neural system was built up to anticipate the drying process of ginger slices under given TD and ST for desired moisture content. Further, proportional odd displaying (POM) approach was applied for the tangible assessment of the dried samples. The ANN architecture, 3-5-1 was chosen as the best for modeling drying behavior of the ginger slices. Simulation of the...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Ginger drying; ANN; Reverse ANN; Proportional odd modeling; Simulation.
Ano: 2022 URL: http://www.cigrjournal.org/index.php/Ejounral/article/view/7373
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