Art

J-GLOBAL ID：200902116800141702   Reference number：97A0020097

An Adaptive Learning and Self-Deleting Neural Network for Vector Quantization.

ベクトル量子化に対する適応学習および自己削除のニューラルネットワーク

Author (3)： MAEDA M (Kagoshima Univ., Kagoshima-shi, JPN) ,  MIYAJIMA H (Kagoshima Univ., Kagoshima-shi, JPN) ,  MURASHIMA S (Kagoshima Univ., Kagoshima-shi, JPN)
Material： IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences (Institute of Electronics, Information and Communication Engineers)  (IEICE Trans Fundam Electron Commun Comput Sci (Inst Electron Inf Commun Eng))
Volume： E79-A  Issue： 11  Page： 1886-1893  Publication year： Nov. 1996 
JST Material Number： F0699C  ISSN： 0916-8508  Document type： Article
Article type： 原著論文  Country of issue： Japan (JPN)  Language： ENGLISH (EN)

Thesaurus term： vector quantization ,...
Semi thesaurus term： LMS Method

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JST classification (1)： Artificial intelligence  (JE08000Z)

Reference (20)：

• GALLANT, S. I. Neural network lerning and expert systems. 1993
• GROSSBERG, S. Adaptive pattern classfication and universal recoding: I. Parallel development and coding of neural feature detectors. Biol. Cybern. 1976, 23, 121-134
• LINDE, Y. An algorithm for vector quantizer design. IEEE Trans. Commun. 1980, 28, 84-95
• YAMADA, Y. Asymptotic performance of black quantizers with difference distortion measures. IEEE Trans. Inf. Theory. 1980, 26, 6-14
• ZADOR, P. L. Asymptotic quantization error of continuous signals and the quantization dimension. IEEE Trans. Inf. Theory. 1982, 28, 139-149

Terms in the title (5)： ベクトル量子化 ,  適応学習 ,  自己 ,  削除 ,  ニューラルネットワーク