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
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.
Metadata
Item Type: | Article |
---|---|
Creators: | Creators Email / ID Num. Latip, Nor Afiqah UNSPECIFIED So’aib, Mohamad Sufian sufian5129@uitm.edu.my Huey, Ling Tan UNSPECIFIED Senin, Syahrul Fithry syahrul573@uitm.edu.my Hamid, Aminuddin UNSPECIFIED |
Subjects: | R Medicine > RM Therapeutics. Pharmacology T Technology > TP Chemical technology > Fermentation, Industrial |
Divisions: | Universiti Teknologi MARA, Shah Alam > College of Engineering |
Journal or Publication Title: | Journal of Mechanical Engineering (JMechE) |
UiTM Journal Collections: | UiTM Journal > Journal of Mechanical Engineering (JMechE) |
ISSN: | 1823-5514 ; 2550-164X |
Volume: | 11 |
Number: | 1 |
Page Range: | pp. 347-366 |
Keywords: | Carica papaya leaf, actic acid bacteria, artificial neural network, antioxidant capacity, total phenolic content |
Date: | November 2022 |
URI: | https://ir.uitm.edu.my/id/eprint/84050 |