Title :
Neuro-Fuzzy Modelling on Experimental Data in Anaerobic Digestion of Organic Waste in Waters
Author :
Yordanova, Snejana ; Noikova, Nelly ; Petrova, Rusanka ; Tzvetkov, Plamen
Author_Institution :
Fac. of Autom., Tech. Univ. of Sofia, Sofia
Abstract :
The aim of the present paper is to develop neuro- fuzzy models of the anaerobic organic digestion process in wastewater treatment from laboratory and simulated experiments accounting for the variable organic load, ambient influence and microorganisms state in MATLAB environment. The main contributions are determination of significant model parameters via graphical sensitivity analysis, simulation experimentation and design and study in MATLAB of two "black-box" models for the biogas production rate, based respectively on classical feedforward backpropagation and Sugeno fuzzy logic neural networks. The models can find application in process prediction, optimization and control.
Keywords :
backpropagation; biofuel; digital simulation; feedforward neural nets; fuzzy neural nets; microorganisms; sensitivity analysis; wastewater treatment; MATLAB environment; Sugeno fuzzy logic neural network; anaerobic organic digestion process; biogas production rate; black-box model; feedforward backpropagation; graphical sensitivity analysis; microorganism; simulation experimentation; wastewater treatment; Analytical models; Backpropagation; Fuzzy logic; MATLAB; Mathematical model; Microorganisms; Neural networks; Production; Sensitivity analysis; Wastewater treatment; Anaerobic digestion of organic waste; neuro-fuzzy modelling; sensitivity; simulation;
Conference_Titel :
Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2005. IDAACS 2005. IEEE
Conference_Location :
Sofia
Print_ISBN :
0-7803-9445-3
Electronic_ISBN :
0-7803-9446-1
DOI :
10.1109/IDAACS.2005.282946
