Modeling of biosorption of Cu(II) by alkali-modified spent tea leaves using response surface methodology (RSM) and artificial neural network (ANN)

Applied Water Science

Volumn 5, Issue 2, 2015, Pages 191-199

  Ghosh, Arpita ^a   Das, Papita ^b   Sinha, Keka ^a  

^a NATIONAL INSTITUTE OF TECHNOLOGY   (India)

^b JADAVPUR UNIVERSITY   (India)

Author keywords

Artificial neural network; Biosorption; Ca(OH)2 modified spent tea leaves; Central composite design; Cu(II); Response surface methodology

Indexed keywords

BIOSORPTION; COPPER COMPOUNDS; EFFICIENCY; HYDRATED LIME; MEAN SQUARE ERROR; SOLUTIONS; SURFACE PROPERTIES;

BIOSORPTION PROCESS; CA(OH)2-MODIFIED SPEND TEA LEAF; CENTRAL COMPOSITE DESIGNS; CU(II); LOW-COST BIOSORBENTS; MODELING FOR SIMULATIONS; PREDICTIVE MODELS; RESPONSE-SURFACE METHODOLOGY; SIMULATION AND OPTIMIZATION; SPENT TEA LEAVES;

NEURAL NETWORKS;

ABSORPTION; ALKALINITY; AQUEOUS SOLUTION; ARTIFICIAL NEURAL NETWORK; COPPER; LEAF; MODELING; REACTION KINETICS; TEA;

EID: 85114080328     PISSN: 21905487     EISSN: 21905495     Source Type: Journal    
DOI: 10.1007/s13201-014-0180-z     Document Type: Article

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