Neuro-Fuzzy Modelling on Experimental Data in Anaerobic Digestion of Organic Waste in Waters
Snejana T. Yordanova, Nelly Noikova, Rusanka Petrova, Plamen Tzvetkov · 2005
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.