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A novel entropy-constrained competitive learning algorithm for vector quantization

โœ Scribed by Wen-Jyi Hwang; Bo-Yuan Ye; Shi-Chiang Liao

Book ID
114297150
Publisher
Elsevier Science
Year
1999
Tongue
English
Weight
314 KB
Volume
25
Category
Article
ISSN
0925-2312

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We compare a number of training algorithms for competitive learning networks applied to the problem of vector quantization for data compression. A new competitive-learning algorithm based on the "conscience" learning method is introduced. The performance of competitive learning neural networks and t