Dynamic Modelling of Aerobic Granular Sludge Artificial Neural Networks
نویسندگان
چکیده
منابع مشابه
Dynamic Modelling of Aerobic Granular Sludge Artificial Neural Networks
Received Feb 13, 2017 Revised Apr 18, 2017 Accepted May 2, 2017 Aerobic Granular Sludge (AGS) technology is a promising development in the field of aerobic wastewater treatment system. Aerobic granulation usually happened in sequencing batch reactors (SBRs) system. Most available models for the system are structurally complex with the nonlinearity and uncertainty of the system makes it hard to ...
متن کاملAquaNereda Aerobic Granular Sludge Technology Aerobic Granular Sludge
This advanced nutrient removal process can reduce footprint up to 75% and energy up to 50% when compared to conventional activated sludge systems. One of the defining characteristics of the granule is rapid settling which in turn allows for an increase in the biomass concentration. The granules are comprised of true biomass and do not require carriers. The layered microbial community that forms...
متن کاملAerobic granular sludge
In recent years, a significant part of research on wastewater treatment has focussed on development of compact systems. Wastewater treatment plants (WWTP) can be designed compact when biomass is maintained in the system without the use of conventional settling tanks as in flocculated activated sludge systems. Examples are developments in the field of Membrane BioReactors, Biological Aerated Fil...
متن کاملAerobic granular sludge: recent advances.
Aerobic granulation, a novel environmental biotechnological process, was increasingly drawing interest of researchers engaging in work in the area of biological wastewater treatment. Developed about one decade ago, it was exciting research work that explored beyond the limits of aerobic wastewater treatment such as treatment of high strength organic wastewaters, bioremediation of toxic aromatic...
متن کاملEfficient Parameters Selection for CNTFET Modelling Using Artificial Neural Networks
In this article different types of artificial neural networks (ANN) were used for CNTFET (carbon nanotube transistors) simulation. CNTFET is one of the most likely alternatives to silicon transistors due to its excellent electronic properties. In determining the accurate output drain current of CNTFET, time lapsed and accuracy of different simulation methods were compared. The training data for...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Electrical and Computer Engineering (IJECE)
سال: 2017
ISSN: 2088-8708,2088-8708
DOI: 10.11591/ijece.v7i3.pp1568-1573