Filters








678 Hits in 6.3 sec

Modelling of Biotechnological Processes – An Approach Based on Artificial Neural Networks [chapter]

Eduardo Valente, Miguel Rocha, Eugénio C. Ferreira, Isabel Rocha
2009 Studies in Computational Intelligence  
In this chapter we describe a software tool for modelling fermentation processes, the FerMoANN, which allows researchers in biology and biotechnology areas to access the potential of Artificial Neural  ...  Fed-batch. This technique is based on the continuous or sequenced batch supply of one or more nutrients, without removal of the bioreactor broth.  ...  Artificial Neural Networks Artificial Neural Networks (ANNs) are based on an analogy with biological brains.  ... 
doi:10.1007/978-3-642-01888-6_11 fatcat:au6oakd7hreuhomaqb7x2qx7gm

An Approach To Identification Of Dynamic Model For Optimization Of Fed-Batch Fermentation Processes

Donatas Levišauskas, Tomas Tekorius
2013 Information Technology and Control  
A computation procedure is developed for identification of dynamic model intended for solving the biomass growth-related optimization problems at fed-batch fermentation processes.  ...  The model parameters are found by using experimental data of batch or fed-batch fermentation processes and a consecutive identification procedure, which includes preliminary estimation of the parameters  ...  : Model identification; Optimization; Fed-batch fermentation process.  ... 
doi:10.5755/j01.itc.42.1.927 fatcat:arw7o33abfd4rgqi2zu4wbdsxe

Optimization of Substrate Feed Flow Rate for Fed-Batch Yeast Fermentation Process

K.T.K. Teo, H.J. Tham, M.K. Tan
2010 2010 Second International Conference on Computational Intelligence, Modelling and Simulation  
This paper presents Q-Learning (QL) algorithm based on optimization method to determine optimal glucose feed flow rate profile for the yeast fermentation process.  ...  The results show that the proposed approach is able to control the process in a satisfactory way.  ...  FERMENTATION MODEL DEVELOPMENT The model of an industrial fed-batch yeast fermentation process is divided into two parts: cell (kinetic) model and reactor (dynamic) model.  ... 
doi:10.1109/cimsim.2010.94 fatcat:q57a4fm2nrfpbpoxf4pwjnhrni

Modelling Fed-Batch Fermentation Processes: An Approach Based on Artificial Neural Networks [chapter]

Eduardo Valente, Isabel Rocha, Miguel Rocha
Advances in Soft Computing  
In this work, a set of computational tools are proposed, allowing researchers in Biotechnology to use ANNs for the modelling of fed-batch fermentation processes.  ...  Artificial Neural Networks (ANNs) have shown to be powerful tools for solving several problems which, due to their complexity, are extremely difficult to unravel with other methods.  ...  were developed to aid in the modelling of fed-batch fermentation processes.  ... 
doi:10.1007/978-3-540-85861-4_4 fatcat:jy47itwcsnchtgpmqonygolhfe

Process monitoring of an industrial fed-batch fermentation

B. Lennox, G.A. Montague, H.G. Hiden, G. Kornfeld, P.R. Goulding
2001 Biotechnology and Bioengineering  
In this article we detail the results of a 2-year study focusing on the development of a condition monitoring system for a fed-batch fermentation system operated by Biochemie Gmbh in Austria.  ...  Market demand places great emphasis in industry on product quality. Consequently, process monitoring and control have become important aspects of systems engineering.  ...  onto an industrial fed-batch fermentation system.  ... 
doi:10.1002/bit.1102 pmid:11370001 fatcat:wm72cy6rpfd3rafnymdekskqae

Hybrid modelling of biochemical processes: A comparison with the conventional approach

S. Feyo de Azevedo, B. Dahm, F.R. Oliveira
1997 Computers and Chemical Engineering  
-the conventional mechanistic approach, formulations based on different artificial neural network (ANN) topologies and a hybrid mechanistic-ANN structure.  ...  This paper addresses attitudes and forms of process modelling in biochemical engineering. Baker's yeast production in a fed-batch fermenter, at laboratory scale, is employed as case-study.  ...  in Chemical Process Control,  ... 
doi:10.1016/s0098-1354(97)87593-x fatcat:4wcljlxt5jfl7fa74br6xgc5yq

Hybrid Modelling of Biochemical Processes: A comparison with the conventional approach

S de Azevedo
1997 Computers and Chemical Engineering  
-the conventional mechanistic approach, formulations based on different artificial neural network (ANN) topologies and a hybrid mechanistic-ANN structure.  ...  This paper addresses attitudes and forms of process modelling in biochemical engineering. Baker's yeast production in a fed-batch fermenter, at laboratory scale, is employed as case-study.  ...  in Chemical Process Control,  ... 
doi:10.1016/s0098-1354(97)00140-3 fatcat:fq7zygkprnfjvhtv72xdtnyqz4

Modeling of an industrial process of pleuromutilin fermentation using feed-forward neural networks

L. Khaouane, O. Benkortbi, S. Hanini, C. Si-Moussa
2013 Brazilian Journal of Chemical Engineering  
This work investigates the use of artificial neural networks in modeling an industrial fermentation process of Pleuromutilin produced by Pleurotus mutilus in a fed-batch mode.  ...  Three feed-forward neural network models characterized by a similar structure (five neurons in the input layer, one hidden layer and one neuron in the output layer) are constructed and optimized with the  ...  profiles during fed-batch fermentation.  ... 
doi:10.1590/s0104-66322013000100012 fatcat:35f2h26cvrcghdezvc2juk5zga

Strategies for Enhancing Product Yield: Design of Experiments (DOE) for Escherichia coli Cultivation [chapter]

Puneet Kumar Gupta, Jyotheeswara Reddy Edula
2021 Fermentation - Processes, Benefits and Risks [Working Title]  
utilised by batch, fed-batch and continuous mode.  ...  E. coli is considered one of the best model organism for biopharmaceutical production by fermentation.  ...  Response surface methodology with Artificial neural network (ANNs) can be applied to difficult model kind of fermentation processes.  ... 
doi:10.5772/intechopen.99288 fatcat:4awf7tjvmnesjhnhrgzf5w3clm

Hybrid modeling as a QbD/PAT tool in process development: an industrial E. coli case study

Moritz von Stosch, Jan-Martijn Hamelink, Rui Oliveira
2016 Bioprocess and biosystems engineering (Print)  
Here, a parametric dynamic bioreactor model is integrated with a nonparametric artificial neural network that describes biomass and product formation rates as function of varied fed-batch fermentation  ...  The hybrid model framework provides flexibility to select model complexity based on available data and knowledge.  ...  Compliance with ethical standards Conflict of interest Jan-Martijn Hamelink is an employee of the GSK group of companies. The other authors declare that no competing interests exist.  ... 
doi:10.1007/s00449-016-1557-1 pmid:26879643 pmcid:PMC4839057 fatcat:ocjkdmtshrfzxi7w5gvzzwduge

Modern Soft-Sensing Modeling Methods for Fermentation Processes

Xianglin Zhu, Khalil Ur Rehman, Bo Wang, Muhammad Shahzad
2020 Sensors  
For effective monitoring and control of the fermentation process, an accurate real-time measurement of important variables is necessary.  ...  The data-driven methods used for the soft-sensing modeling such as support vector machine, multiple least square support vector machine, neural network, deep learning, fuzzy logic, probabilistic latent  ...  The hybrid model based on GA and an ant colony optimization (ACO) is introduced in [100] for the fed-batch fermentation process.  ... 
doi:10.3390/s20061771 pmid:32210053 fatcat:cicbldmt7jh3jcsomemjqbhrvi

Optimization of fed-batch fermentation processes using the Backtracking Search Algorithm

Mohamad Zihin bin Mohd Zain, Jeevan Kanesan, Graham Kendall, Joon Huang Chuah
2018 Expert systems with applications  
However, the complexity of these processes requires 44 an expert system that involves swarm intelligence-based metaheuristics such as Artificial Algae 45 Algorithm ( AAA), Artificial Bee Colony (ABC),  ...  Fed-batch fermentation has gained attention in recent years due to its beneficial impact in 43 the economy and productivity of bioprocesses.  ...  Peng et al. (2014) studied the fed-batch 126 fermentation process of an antibiotic, iturin A using an artificial neural network-genetic algorithm 127 (ANN-GA) and uniform design (Schematic illustration  ... 
doi:10.1016/j.eswa.2017.07.034 fatcat:wnbvcgwk3rhodcbs64h3lsc3zi

A Hybrid Science-Guided Machine Learning Approach for Modeling and Optimizing Chemical Processes [article]

Niket Sharma, Y. A. Liu
2021 arXiv   pre-print
, quantifying uncertainty in the process and even discovering governing equations of the process model.  ...  The first refers to the case where a data-based ML model compliments and makes the first-principle science-based model more accurate in prediction, and the second corresponds to the case where scientific  ...  ., for their support of the Center of Excellence in Process System Engineering in the Department of Chemical Engineering at Virginia Tech. We would like to thank Dr.  ... 
arXiv:2112.01475v1 fatcat:qvcoyiut3redfptvpg42qc2hte

Time Accounting Artificial Neural Networks for Biochemical Process Models [chapter]

Petia Georgieva, Luis Alberto Paz Suárez, Sebastião Feyo de Azevedo
2016 Studies in Computational Intelligence  
A theoretical framework for estimation of process kinetic rates based on different temporal (time accounting) Artificial Neural Network (ANN) architectures is introduced.  ...  This paper is focused on developing more efficient computational schemes for modeling in biochemical processes.  ...  Our main contribution is the analytical formulation of a modeling procedure based on time accounting artificial neural networks (ANNs), for kinetic rates estimation.  ... 
doi:10.1007/978-3-319-41438-6_4 fatcat:zbpu4kc375bh7dznk6an3o2w6u

Time Accounting Artificial Neural Networks for Biochemical Process Models [chapter]

Petia Georgieva, Luis Alberto Paz Suárez, Sebastião Feyo de Azevedo
2010 Studies in Computational Intelligence  
A theoretical framework for estimation of process kinetic rates based on different temporal (time accounting) Artificial Neural Network (ANN) architectures is introduced.  ...  This paper is focused on developing more efficient computational schemes for modeling in biochemical processes.  ...  Our main contribution is the analytical formulation of a modeling procedure based on time accounting artificial neural networks (ANNs), for kinetic rates estimation.  ... 
doi:10.1007/978-3-642-13428-9_8 fatcat:43oca6ff6rg4xbzf2bruf2kkda
« Previous Showing results 1 — 15 out of 678 results