Investigations of Biosorption Capacity Histories with Temperature and Other Parameters in a Given Fuzzy Universe of Discourse

Evaluation of Copper Biosorption onto Date Palm (Phoenix dactyliferaL.) Seeds with MLR and ANFIS Models

“…With an increase in the mass of date palm seeds, the decrease in q e was due to the concentration difference between copper concentration in the solution and on the surface of date palm seeds divided by the unit weight of date palm seeds (eq ). Some research studies related to good performance of ANFIS is also given in the literature. − …”

“…The intelligence methodology provides the modeling of complex relationships, especially nonlinear ones that may be investigated without complicated equations . However, only one work has been reported yet in the literature on the application of ANFIS in modeling of the biosorption process by Khokhar et al…”

“…30 The intelligence methodology provides the modeling of complex relationships, especially nonlinear ones that may be investigated without complicated equations. 30 However, only one work has been reported yet in the literature on the application of ANFIS in modeling of the biosorption process by Khokhar et al 31 The aim of this study was to investigate biosorption characteristics of Cu(II) onto date palm seeds used as a raw, natural, and abundant material in batch mode investigating the effect of the key process parameters. The biosorption process was optimized and compared by using both ANFIS and MLR.…”

Control borroso de la remoción de estrógenos en un biorreactor de membranas

“…El control borroso de procesos encuentra numerosas aplicaciones en la industria, medicina, aeronáutica, electrónica, entre otros, e incluso en los últimos años, en el mundo de los aparatos electrodomésticos (28). Particularmente, el empleo del control borroso en plantas de tratamiento de aguas residuales abarca entre otras aplicaciones: la aireación en un proceso de lodos activados (29), la remoción de nitrógeno (30), el control del pH (31), el control de los sólidos en suspensión (32), el control predictivo de todo el proceso de tratamiento (33), el control del OD (34), el control anaeróbico (35), el control de flujo de metano para el tratamiento de aguas residuales vinícolas por digestión anaerobia (36), estudios de la capacidad de bioadsorción del fenol (37), el modelamiento matemático del control de proceso (38), simulación del proceso de nitrificación (39) y, más recientemente ha sido utilizado por Sánchez (40) para la valoración del impacto ambiental generado por contaminantes emergentes en aguas residuales hospitalarias.…”