Bioadsorption of arsenic: An artificial neural networks and response surface methodological approach

Industrial and Engineering Chemistry Research

Volumn 50, Issue 17, 2011, Pages 9852-9863

  Ranjan, D ^a   Mishra, D ^b   Hasan, S H ^a  

^a BANARAS HINDU UNIVERSITY   (India)

^b INDIAN INSTITUTE OF SPACE SCIENCE AND TECHNOLOGY   (India)

Author keywords

[No Author keywords available]

Indexed keywords

ARSENIC CONCENTRATION; ARTIFICIAL NEURAL NETWORK; BATCH MODES; BED HEIGHT; BIOADSORPTION; CENTRAL COMPOSITE DESIGNS; COMBINED EFFECT; EXPERIMENTAL DATA; INDEPENDENT PARAMETERS; INPUT-OUTPUT PATTERN; METHODOLOGICAL APPROACH; MULTI-LAYER FEED-FORWARD NETWORKS; NONLINEAR BEHAVIOR; OPTIMIZATION METHODOLOGY; REGRESSION EQUATION; RESPONSE SURFACE; RESPONSE SURFACE METHODOLOGY; SECOND ORDERS; UPTAKE CAPACITY;

ARSENIC; BACKPROPAGATION ALGORITHMS; FORECASTING; OPTIMIZATION; SORPTION; SURFACE PROPERTIES;

NEURAL NETWORKS;

EID: 80052345854     PISSN: 08885885     EISSN: 15205045     Source Type: Journal    
DOI: 10.1021/ie200612f     Document Type: Article

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