The fed-batch cultivation is in many ways a benchmark for fermentation processes, and it
has been an attractive choice for the biotechnological production of various products in the …

Illustrating techniques in model development, signal processing, data reconciliation, process
monitoring, quality assurance, intelligent real-time process supervision, and fault detection …

The current study utilized an artificial neural network (ANN) to generate computational
models to achieve process optimization for a previously developed continuous liposome …

In this brief, we extend the simulation-based approximate dynamic programming (ADP)
method to optimal feedback control of fed-batch reactors. We consider a free-end problem …

A system for online optimization of industrial fermentation based on a model with dynamic
neural networks is described. The developed dynamic neural network, consisting of adapted …

The fed-batch process for commercial production of riboflavin (vitamin B2) was optimized on-
line using model-predictive control based on artificial neural networks (ANNs). The …

A simulation and experimental study has been carried out on the adaptive optimization of
fed-batch culture of yeast. In the simulation study, three genetic algorithms based on …

This is an introductory chapter that presents a general review of some Computational
Intelligence (CI) techniques used today, both in the biotechnology industry and in academic …

Engineered bioreactors are useful tools for degrading wastes from crude oil refining
facilities. One such bioreactor forms part of the wastewater remediation process used at a …

The rice heat blast process is a novel technique for gelatinizing raw starch. It uses heated air
to replace steam for processing rice under high temperature fluidization in a short time …