Title :
Comparison on the Estimation of the Biomass of a Batch Bioreactor through Fuzzy Systems, Neural Networks and Adaptive Neuro-Fuzzy Inference System
Author :
Munoz, Andrus Allan Giraldo ; Quintero, O. Lucía
Author_Institution :
EAFIT Univ., Colombia
Abstract :
The estimation of biomass production of delta-endotoxins of the Bacillus thuringiensis (Bt) is a major problem in biotechnological processes, as bio-insecticides, which has been addressed with different methodologies such as extended Kalman filters (EKF), phenomenological observers, among others. This paper presents a comparison in the estimation of biomass concentration of delta - endotoxins of the emph{Bacillus thuringiensis} (Bt), using Mamdani fuzzy inference systems (FIS), neural networks (NN) and adaptive neuro-fuzzy inference system (ANFIS) trained with differents clustering algorithms, and comparing the associated outcomes among these.
Keywords :
adaptive systems; batch processing (industrial); bioreactors; fuel gasification; fuzzy neural nets; fuzzy reasoning; fuzzy systems; pattern clustering; production engineering computing; Bacillus thuringiensis; Mamdani fuzzy inference systems; adaptive neurofuzzy inference system; batch bioreactor; bio-insecticides; biomass production estimation; biotechnological processes; clustering algorithms; delta-endotoxins; neural networks; Biological system modeling; Biomass; Data models; Estimation; Noise; Noise measurement; Substrates;
Conference_Titel :
Technologies and Applications of Artificial Intelligence (TAAI), 2011 International Conference on
Conference_Location :
Chung-Li
Print_ISBN :
978-1-4577-2174-8
DOI :
10.1109/TAAI.2011.15
