scholar.google.com › citations
Abstract. In this paper computational intelligence has been considered as a tool (software sensor) in state- estimation and prediction of biomass concentration ...
In the integrated paradigm, as illustrated in figure 1, the learning capability of neural networks is added to the principle-base of FLS to learn mapping rules.
In this paper computational intelligence has been considered as a tool (software sensor) in state- estimation and prediction of biomass concentration in a ...
TAINN'05: Proceedings of the 14th Turkish conference on Artificial Intelligence and Neural Networks. This paper describes the architecture and learning ...
People also ask
What sensors are used in fermentation?
What is a fuzzy neural network?
Soft sensing modeling based on dynamic fuzzy neural network for penicillin fermentation ... Take the key biological parameters soft sensing of penicillin ...
Aug 16, 2024 · Neuro-fuzzy modeling may be qualified as a grey-box technique, since it combines the transparency of rule-based fuzzy systems with the ...
Fuzzy-aided neural network for real-time state estimation and process prediction in the alcohol formation step of production-scale beer brewing · Abstract.
A robust soft sensor based on artificial neural network for monitoring microbial lipid fermentation processes using Yarrowia lipolytica. Biotechnol. Bioeng ...
The neuro-fuzzy model provides a better fitness and allows inclusion of linguistic variables (such as colour, smell, taste, morphophysiology, etc.). The ...
In fermentation process, fuzzy neural networks (FNN) is a novel machine learning method of soft sensor modeling, while the typical algorithm of FNN is ...