Integration of growing self-organizing map and continuous genetic algorithm for grading lithium-ion battery cells

Applied Soft Computing Journal

Volumn 12, Issue 8, 2012, Pages 2012-2022

  Kuo, R J ^a   Wang, C F ^b   Chen, Z Y ^c  

^a NATIONAL TAIWAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Taiwan)

^b Lextar Electronics Corporation   (Taiwan)

^c DE LIN INSTITUTE OF TECHNOLOGY   (Taiwan)

Author keywords

Cluster analysis; Continuous genetic algorithm; Growing self organizing map; Self organizing map neural network

Indexed keywords

BATTERY DESIGN; BENCHMARK DATA; CONTINUOUS GENETIC ALGORITHMS; GROWING SELF ORGANIZING MAP; LITHIUM-ION BATTERY; LITHIUM-ION CELLS; QUALITY INSPECTION; SELF-ORGANIZING MAP NEURAL NETWORK;

CLUSTER ANALYSIS; CLUSTERING ALGORITHMS; GENETIC ALGORITHMS; LITHIUM BATTERIES; MANUFACTURE;

CONFORMAL MAPPING;

EID: 84861861408     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2012.01.018     Document Type: Article

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