Feature extraction of time-series process images in an aerated agitation vessel using self organizing map

Neurocomputing

Volumn 73, Issue 1-3, 2009, Pages 60-70

  Matsumoto, Hideyuki ^a   Masumoto, Ryuichi ^a   Kuroda, Chiaki ^a  

^a TOKYO INSTITUTE OF TECHNOLOGY   (Japan)

Author keywords

Aerated agitation process; Feature extraction; Process imaging; Self organizing map

Indexed keywords

AERATED AGITATION PROCESS; DYNAMIC BEHAVIORS; GAS DISPERSION; PARTICLE IMAGE VELOCIMETRIES; PERIODIC BEHAVIOR; PROCESS IMAGING; SMALL DISPLACEMENT;

FLOW VISUALIZATION; IMAGE PROCESSING; MINING; SELF ORGANIZING MAPS; STRENGTH OF MATERIALS;

FEATURE EXTRACTION;

ARTICLE; ARTIFICIAL NEURAL NETWORK; DATA ANALYSIS; DISPERSION; DYNAMICS; GAS; IMAGE PROCESSING; INFORMATION PROCESSING; LEARNING ALGORITHM; PRIORITY JOURNAL; TIME SERIES ANALYSIS; VELOCITY;

EID: 70350731099     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2008.10.028     Document Type: Article

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