Part-machine clustering: The comparison between adaptive resonance theory neural network and ant colony system

Lecture Notes in Electrical Engineering

Volumn 67 LNEE, Issue , 2010, Pages 747-755

  Xing, Bo ^a   Gao, Wen Jing ^a   Nelwamondo, Fulufhelo V ^b   Battle, Kimberly ^a   Marwala, Tshilidzi ^a  

^a UNIVERSITY OF JOHANNESBURG   (South Africa)

^b DSI CSIR Nanotechnology Innovation Centre   (South Africa)

Author keywords

Adaptive resonance theory neural network; Ant colony system; Group technology; Grouping efficiency; Part machine clustering

Indexed keywords

ADAPTIVE RESONANCE THEORY; ANT COLONY SYSTEMS; ART1 NEURAL NETWORK; BENCHMARK TEST PROBLEM; CLUSTERING RESULTS; GROUPING EFFICIENCY; META-HEURISTIC APPROACH; NEURAL NETWORK METHOD; NP COMPLETE; PART-MACHINE CLUSTERING; PERFORMANCE MEASURE;

BENCHMARKING; CLUSTERING ALGORITHMS; GROUP THEORY; HEURISTIC METHODS; NEURAL NETWORKS; PROBLEM SOLVING; RESONANCE;

GROUP TECHNOLOGY;

EID: 84867390274     PISSN: 18761100     EISSN: 18761119     Source Type: Book Series    
DOI: 10.1007/978-3-642-12990-2_87     Document Type: Conference Paper

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