Experimental studies and neural network modeling of the removal of trichloroethylene vapor in a biofilter
Author:
Publisher
Elsevier BV
Subject
Management, Monitoring, Policy and Law,Waste Management and Disposal,General Medicine,Environmental Engineering
Reference46 articles.
1. Artificial neural network modeling in competitive adsorption of phenol and resorcinol from water environment using some carbonaceous adsorbents;Aghav;J. Hazard Mater.,2011
2. Aerobic biodegradation of trichloroethylene by consortium microorganism from Turkey litter compost;Baskaran;J. Environ. Chem. Eng.,2019
3. A novel process of the isolation of nitrifying bacteria and their development in two different natural lab-scale packed-bed bioreactors for trichloroethylene bioremediation;Berrelleza-Valdez;J. Environ. Manag.,2019
4. Application of neural networks to water and wastewater treatment plant operation;Boger;ISA (Instrum. Soc. Am.) Trans.,1992
5. Dynamic numerical reconstruction of a fungal biofiltration system using differential neural network;Chairez;J. Process Control,2009
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