A comparison of the ability of black box and neural network models of ARX structure to represent a fluidized bed anaerobic digestion process
- 1 March 1999
- journal article
- Published by Elsevier in Water Research
- Vol. 33 (4) , 1027-1037
- https://doi.org/10.1016/s0043-1354(98)00287-5
Abstract
No abstract availableThis publication has 13 references indexed in Scilit:
- Hydrogen production in a high rate fluidised bed anaerobic digesterWater Research, 1997
- Neural NetworksPublished by Taylor & Francis ,1996
- Comparison of linear, nonlinear and neural-network-based adaptive controllers for a class of fed-batch fermentation processesAutomatica, 1995
- Characterization of a prototype industrial on‐line analyzer for bicarbonate/carbonate monitoringBiotechnology & Bioengineering, 1994
- Reduced Order Models for On-Line Parameter Identification of the Activated Sludge ProcessWater Science & Technology, 1993
- A New Method for Identifying Orders of Input-Output Models for Nonlinear Dynamic SystemsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1993
- Dynamic modelling of a single-stage high-rate anaerobic reactor—I. Model derivationWater Research, 1991
- Neural Networks for ControlPublished by MIT Press ,1991
- Non-linear system identification using neural networksInternational Journal of Control, 1990
- Anaerobic digestion II. The characterization and control of anaerobic digestionWater Research, 1969