Artificial Neural Network and Response Surface Methodology Approach for Modeling and Optimization of Chromium (VI) Adsorption from Waste Water using Ragi Husk Powder

Indian Chemical Engineer

Volumn 55, Issue 3, 2013, Pages 200-222

  Krishna, D ^a   Sree, R Padma ^b  

^a MVGR COLLEGE OF ENGINEERING   (India)

^b ANDHRA UNIVERSITY   (India)

Author keywords

Adsorption; Artificial neural network; Biosorption; Box Behnken design (BBD); Chromium (VI); Genetic algorithm; Ragi husk powder

Indexed keywords

BOXBEHNKEN DESIGN (BBD); CORRELATION COEFFICIENT; FEEDFORWARD BACKPROPAGATION; MINIMUM MEAN SQUARED ERROR; MODELING AND OPTIMIZATION; OPERATIONAL PARAMETERS; PATTERN SEARCH METHOD; RESPONSE SURFACE METHODOLOGY;

ADSORPTION; BIOSORPTION; GENETIC ALGORITHMS; NEURAL NETWORKS; OPTIMIZATION; SURFACE PROPERTIES;

CHROMIUM;

EID: 84885369510     PISSN: 00194506     EISSN: None     Source Type: Journal    
DOI: 10.1080/00194506.2013.829257     Document Type: Article

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