Search Results - (( data fermentation _ algorithm ) OR ( java implication based algorithm ))
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Artificial Bee Colony algorithm in estimating kinetic parameters for yeast fermentation pathway
Published 2023“…Most of the estimated kinetic parameter values obtained from the proposed algorithm are the closest to the experimental data.…”
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Application of artificial neural network on the prediction of microbial population and species during spontaneous fermentation of garcinia mangostana pericarp / Mohd Fikri Hakim Ab...
Published 2020“…In this study, an artificial neural network (ANN) was used to predict microbial population dynamics and species during the spontaneous fermentation of Garcinia mangostana pericarp. The study was conducted by collecting the experimental data from analysis of fermented garcinia mangostana pericarp and train the data by using neural network in MATLAB system. …”
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Model predictive control on fed-batch penicillin fermentation process
Published 2009“…In order to obtain best optimization result for the fed-batch penicillin fermentation process, two optimization algorithms were selected. …”
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Improvement of L-asparaginase, an Anticancer Agent of Aspergillus arenarioides EAN603 in Submerged Fermentation Using a Radial Basis Function Neural Network with a Specific Gene...
Published 2023“…The present study aimed to optimize the production of L-asparaginase from Aspergillus arenarioides EAN603 in submerged fermentation using a radial basis function neural network with a specific genetic algorithm (RBFNN-GA) and response surface methodology (RSM). …”
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Application of artificial neural network on prediction of microbial population and species during spontaneous fermentation of carica papaya leaf / Muhammad Hafiz Ridwan and Mohamad...
Published 2020“…Therefore, the Artificial Neural Networks (ANNs) method was used in this research because of the non-linearity pattern of the experimental data obtain. The parameter involve are the day of fermentation (1-100) days and the volume of water sample used (5L and 50L) as the input. …”
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Application of artificial neural network to simulate phenolic content and antioxidant activity during spontaneous fermentation of Carica papaya leaf / Nur Syahira Mohammad and Moha...
Published 2020“…Data used to derive and validate the model was obtained from the experiment. …”
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Improvement of L-asparaginase, an Anticancer Agent of Aspergillus arenarioides EAN603 in Submerged Fermentation Using a Radial Basis Function Neural Network with a Specific Gene...
Published 2023“…The present study aimed to optimize the production of L-asparaginase from Aspergillus arenarioides EAN603 in submerged fermentation using a radial basis function neural network with a specific genetic algorithm (RBFNN-GA) and response surface methodology (RSM). …”
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Improvement of L-asparaginase, an Anticancer Agent of Aspergillus arenarioides EAN603 in Submerged Fermentation Using a Radial Basis Function Neural Network with a Specific Gene...
Published 2023“…The present study aimed to optimize the production of L-asparaginase from Aspergillus arenarioides EAN603 in submerged fermentation using a radial basis function neural network with a specific genetic algorithm (RBFNN-GA) and response surface methodology (RSM). …”
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Improvement of L-asparaginase, an Anticancer Agent of Aspergillus arenarioides EAN603 in Submerged Fermentation Using a Radial Basis Function Neural Network with a Specific Gene...
Published 2023“…: The present study aimed to optimize the production of L-asparaginase from Aspergillus arenarioides EAN603 in submerged fermentation using a radial basis function neural network with a specific genetic algorithm (RBFNN-GA) and response surface methodology (RSM). …”
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Improvement of L-asparaginase, an Anticancer Agent of Aspergillus arenarioides EAN603 in Submerged Fermentation Using a Radial Basis Function Neural Network with a Specific Gene...
Published 2023“…The present study aimed to optimize the production of L-asparaginase from Aspergillus arenarioides EAN603 in submerged fermentation using a radial basis function neural network with a specific genetic algorithm (RBFNN-GA) and response surface methodology (RSM). …”
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Comparative machine learning strategies for improving antioxidant properties and aroma quality in fermented mung bean milkby Lactobacillus plantarum PC4
Published 2025“…This study compares least squares support vector machine (LSSVM) and artificial neural network (ANN) models, integrated with the NSGA-II algorithm, to optimize the fermentation of mung bean milk by Lactobacillus plantarum PC4. …”
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Development of Fermentation Technique for High Cell Density Cultivation of Baker's Yeast (Saccharomyces Cerevisae)
Published 2005“…The yeast, Saccharomyces cerevisae, isolated from fermented food was used in this study. Batch fermentation studies of S. cerevisae in a 2 L stirred tank fermenter were undertaken to generate kinetic growth data for the design of continuous and fed-batch fermentation. …”
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Parametric Optimization for the Maximization of Hydrogen Production by Enterobacter Cloacae
Published 2015“…The decision variables (process parameters) are the initial glucose concentration, Inoculum age and also the initial pH of the nutrient broth. By using data from the previous research, the parameters are optimized by using three numerical methods, simulated annealing, pattern search and Genetic algorithm. …”
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Final Year Project -
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Optimization of neural network architecture using particle swarm algorithm for dissolved oxygen modelling in a 200L bioreactor PHA production
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A review of advanced optimization strategies for fermentative biohydrogen production processes
Published 2022“…Despite significant reports on the optimization of hydrogen production from fermentation, fewer studies have been made for the case using artificial intelligence algorithms. …”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method
Published 2024thesis::doctoral thesis -
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Improvement of xylanase production by recombinant Escherichia coli DH5α using fed-batch fermentation
Published 2011“…Fed-batch fermentation modes were developed using kinetic parameter values and information generated from the preliminary batch fermentation data. …”
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Thesis -
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Rank-based optimal neural network architecture for dissolved oxygen prediction in a 200L bioreactor
Published 2017“…The backpropagation neural network model with Lavenberg Marquardt learning algorithm was developed using 1476 samples real process dataset obtained from a fermentation process in a 200L bioreactor. …”
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