Prediction of activated sludge bulking based on a self-organizing RBF neural network

Journal of Process Control

Volumn 22, Issue 6, 2012, Pages 1103-1112

  Han, Hong Gui ^a   Qiao, Jun Fei ^a  

^a BEIJING UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

Self organizing radial basis function; Sludge bulking; Sludge volume index; Wastewater treatment process

Indexed keywords

ACTIVATED SLUDGE; ACTIVATED SLUDGE BULKING; ENVIRONMENTAL CONSEQUENCES; EXCELLENT PERFORMANCE; GROWING AND PRUNING; HIDDEN NODES; INPUT-OUTPUT SELECTION; KEY RELATIONS; MUTUAL INFORMATIONS; NETWORK COMPLEXITY; NEURAL NETWORK METHOD; PERFORMANCE COMPARISON; RADIAL BASIS FUNCTIONS; RBF NEURAL NETWORK; SELF ORGANIZING; SLUDGE BULKING; SLUDGE VOLUME INDEX; WASTEWATER TREATMENT PROCESS;

FORECASTING; NEURAL NETWORKS; RADIAL BASIS FUNCTION NETWORKS; SEWAGE SLUDGE;

ACTIVATED SLUDGE PROCESS;

EID: 84862160601     PISSN: 09591524     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jprocont.2012.04.002     Document Type: Article

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