Integration of Expert Systems and Neural Networks for the Control of Fermentation Processes

Autor: P. Friedl, Stefan Gehlen, Henning Tolle, J. Kreuzig
Rok vydání: 2023
Předmět:
DOI: 10.26083/tuprints-00023386
Popis: Expert systems and neural networks are new tools for the control of fermentation processes. With expert systems the fermentation plant and the process itself is modelled via a generalized, qualitative system description based on the experience of human experts. On the other hand neural networks and interpolating associative memories can learn the process behaviour directly by process observation. The paper at hand reports, how both control techniques can be combined for purposes like process supervision, modelling and optimization of biological plants.
Databáze: OpenAIRE