Neural network modelling of phenolic content, antioxidant capacity and microbial population dynamics of a household scale spontaneous fermentation of Carica papaya leaf / Nor Afiqah Latip ... [et al.]

Latip, Nor Afiqah and So’aib, Mohamad Sufian and Huey, Ling Tan and Senin, Syahrul Fithry and Hamid, Aminuddin (2022) Neural network modelling of phenolic content, antioxidant capacity and microbial population dynamics of a household scale spontaneous fermentation of Carica papaya leaf / Nor Afiqah Latip ... [et al.]. Journal of Mechanical Engineering (JMechE), 11 (1): 20. pp. 347-366. ISSN 1823-5514 ; 2550-164X
Identification Number (DOI): 10.24191/jmeche.v11i1.23614
Abstract

Beneficial effects of spontaneous fermentation on Carica papaya leaf (CPL) have been observed in terms of enhanced total phenolic content and antioxidant capacity, as well as cultivation of lactic acid bacteria (LAB). Nonetheless, these responses were nonlinear, thus Artificial Neural network (ANN) was used as a predictive tool. The chosen ANN architecture consisted of multi-layer perceptron (MLP) with 2-7-7-1 and 2-10-10-1 topologies, Levenberg-Marquardt training algorithm, and hyperbolic tangent sigmoid activation function.

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