A Hybrid Learning Approach to Self-Organizing Neural Network for Vector Quantization

IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences

Volumn E86-A, Issue 9, 2003, Pages 2280-2286

  Fukumoto, Shinya ^a   Shigei, Noritaka ^a   Maeda, Michiharu ^b   Miyajima, Hiromi ^a  

^a KAGOSHIMA UNIVERSITY   (Japan)

^b KURUME NATIONAL COLLEGE OF TECHNOLOGY   (Japan)

Author keywords

Image compression; K means method; Kohonen's self organizing map; Neural gas network; Vector quantization

Indexed keywords

COMBINATORIAL MATHEMATICS; COMPUTER SIMULATION; LEARNING SYSTEMS; NEURAL NETWORKS; OPTIMIZATION; SIMULATED ANNEALING;

K-MEANS METHOD; NEURAL-GAS NETWORKS;

VECTOR QUANTIZATION;

EID: 1642294117     PISSN: 09168508     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Conference Paper

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