Journal ArticleDOI
Bioprocess optimization and control: Application of hybrid modelling Author's reply to comments by G.F. Andrews (J. Biotechnol 42 (1995) 281–284)
Reads0
Chats0
About:
This article is published in Journal of Biotechnology.The article was published on 1995-10-16. It has received 6 citations till now. The article focuses on the topics: Bioprocess.read more
Citations
More filters
Journal ArticleDOI
Production of native and recombinant lipases by Candida rugosa: a review.
TL;DR: The purpose of this review is to provide a summary of the recent advances on the production of native and recombinant lipases by C. rugosa and make heterologous CRLs available.
Journal ArticleDOI
A hybrid neural approach to model batch fermentation of “ricotta cheese whey” to ethanol
TL;DR: The fermentation of “ricotta cheese whey” for the production of ethanol was simulated by means of a multiple hybrid neural model (HNM), obtained by coupling neural network approach to mass balance equations for lactose, ethanol and biomass.
Journal ArticleDOI
How to increase the performance of models for process optimization and control
TL;DR: In order to enhance the benefit/cost-ratio above the threshold of acceptance, a series of procedures is proposed: in the beginning an exploratory process data analysis is suggested to classify the process variables according to their importance and to facilitate the development of black- and grey-box models.
Journal ArticleDOI
Model-based optimization of biosurfactant production in fed-batch culture Azotobacter vinelandii
TL;DR: Fed-batch cultivation of Azotobacter vinelandii 21 was optimized for biosurfactant production and the rate of cultural liquid emulsification activity growth as well as the rates of ammonia nitrogen and phosphate phosphorus consumption is modelled by means of artificial neural network.
Book ChapterDOI
A hybrid neural approach to model batch fermentation of dairy industry wastes
TL;DR: In this paper, the authors simulated the fermentation of Ricotta cheese whey for the production of ethanol by means of a Hybrid Neural Model (HNM), obtained by coupling neural network approach to mass balance equations describing the time evolution of lactose (substrate), ethanol (product) and biomass concentrations.
References
More filters
Journal ArticleDOI
Studies on on-line bioreactor identification. I. Theory.
TL;DR: The method does not require any model for the growth kinetics and is very successful in accurately estimating the above variables in the presence of intense noise and under both steady‐state and transient conditions.
Journal ArticleDOI
Computer‐aided material balancing for prediction of fermentation parameters
TL;DR: An indirect approach for the assessment of biomass concentration can be based on material balances and on the direct monitoring of fermentation parameters for which there are established sensors, and requires no assumption of cellular yield coefficients or rate constants.
Journal ArticleDOI
Studies on on-line bioreactor identification. II. Numerical and experimental results.
TL;DR: Results of the studies presented herein confirm the superior characteristics of the proposed estimator and its applicability to modelling studies, or on‐line bioreactor control, and the sensitivity of the estimation scheme with respect to the respiratory quotient measurement is discussed.
Book
Modeling and Optimization of Fermentation Processes
Bohumil Volesky,Jaroslav Votruba +1 more
TL;DR: This work Modeling the Acetone-Butanol-Ethanol Fermentation Process Alternatives and Application of Mathematical Models in the Simulation and Optimization of Fermentation processes and the Fundamentals of Mass Balancing.
Journal ArticleDOI
Artificial Neural Networks of Improved Reliability for Industrial Process Supervision
TL;DR: A software tool is described, in which aspects of improving artificial neural nets are implemented, and application examples are presented from a production scale beer brewery fermenter.