Use of artificial neural network (ANN) for the development of bioprocess using Pinus roxburghii fallen foliages for the release of polyphenols and reducing sugars

Combined ANN/EVOP Factorial Design Approach for Media Screening for Cost-effective Production of Alkaline Proteases from Rhizopus oryzae (SN5)/NCIM-1447 under SSF

“…Therefore through various mathematical and computational optimization techniques, optimal combination of various culture parameters and substrate ratio have been achieved by researchers, such as one-variable-at-a-time, RSM (Milala et al 2016), EVOP-factorial design technique (Negi and Banerjee 2006;Pandey et al 2016), Artificial neural network (ANN) (Román et al 2011;Vats and Negi 2013), genetic algorithm etc. ANN has been preferred because of their proven advantages over other mathematical and computational method in order to get optimum physicochemical conditions for optimum yield of fermentation products (Yadav et al 2013;Vats and Negi 2013). An artificial neuron network (ANN) is a computational model based on the structure and functions of biological neural networks and can be used to approximate any function that can depend on a large number of inputs.…”

Application of intelligent modeling to predict the population dynamics of Pseudomonas aeruginosa in Frankfurter sausage containing Satureja bachtiarica extracts

“…Intelligent systems have successfully applied for modeling in food microbiology including modeling of antimicrobial effect of grape pulp and juice on S. aureus and E. Coli in vegetable soup using artificial neural network and fuzzy logic [16], modeling of antimicrobial effect of Annatto extract on microbial population of S. entridis using artificial neural network and neuro-fuzzy systems [17], application of artificial neural networks on for modeling of reducing sugars and poly phenol release process in pine dropped leaves using Pinus roxburghii [18], and modeling of antimicrobial peptides using neuro-fuzzy systems [19].…”

Combined ANN/ EVOP Factorial Design Approach for Media Screening for Cost-effective Production of Alkaline Proteases from Rhizopus oryzae (SN5) / NCIM-1447 under SSF

“…Therefore through various mathematical and computational optimization techniques, optimal combination of various culture parameters and substrate ratio have been achieved by researchers, such as onevariable-at-a-time, RSM [Milala et al 2016], EVOP-factorial design technique [Negi and Banerjee, 2006;Pandey et al 2016], Artificial Neural Network (ANN) [Román et al 2011;Vats and Negi 2013], genetic algorithm etc. ANN has been preferred because of their proven advantages over other mathematical and computational method in order to get optimum physicochemical conditions for optimum yield of fermentation products (Yadav et al 2013;Vats and Negi 2013). An artificial neuron network (ANN) is a computational model based on the structure and functions of biological neural networks and can be used to approximate any function that can depend on a large number of inputs.…”