Modeling batch and column phosphate removal by hydrated ferric oxide-based nanocomposite using response surface methodology and artificial neural network

Chemical Engineering Journal

Volumn 249, Issue , 2014, Pages 111-120

  Zhang, Yanyang ^a   Pan, Bingcai ^a  

^a NANJING UNIVERSITY   (China)

Author keywords

Artificial neural network; Nanocomposite adsorbent; Phosphate removal; Response surface methodology

Indexed keywords

ADSORBENTS; HYDRATION; IRON OXIDES; NANOCOMPOSITES; REMOVAL; SURFACE PROPERTIES;

ARTIFICIAL NEURAL NETWORK MODELS; CENTRAL COMPOSITE DESIGNS; FEEDFORWARD BACKPROPAGATION; FIXED-BED ADSORPTION; OPERATING TEMPERATURE; PHOSPHATE REMOVAL; RESPONSE SURFACE METHODOLOGY; SULFATE CONCENTRATIONS;

NEURAL NETWORKS;

EID: 84920561760     PISSN: 13858947     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cej.2014.03.073     Document Type: Article

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