English  |  正體中文  |  简体中文  |  Items with full text/Total items : 27320/39164
Visitors : 2476495      Online Users : 30
RC Version 4.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Adv. Search

Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/50933

Title: Harmonic neural networks for on-line learning vector quantisation
Authors: J.-H. Wang
J.-D. Rau
C.-Y. Peng
Contributors: 國立臺灣海洋大學:電機工程學系
Keywords: neural nets
unsupervised learning
vector quantisation
online operation
image coding
Date: 2000-07
Issue Date: 2018-11-01T01:52:24Z
Publisher: IEE Proceedings-Vision, Image and Signal Processing
Abstract: Abstract: A self-creating harmonic neural network (HNN) trained with a competitive algorithm effective for on-line learning vector quantisation is presented. It is shown that by employing dual resource counters to record the activity of each node during the training process, the equi-error and equi-probable criteria can be harmonised. Training in HNNs is smooth and incremental, and it not only achieves the biologically plausible on-line learning property, but it can also avoid the stability-plasticity dilemma, the dead-node problem, and the deficiency of the local minimum. Characterising HNNs reveals the great controllability of HNNs in favouring one criterion over the other, when faced with a must-choose situation between equi-error and equi-probable. Comparison studies on learning vector quantisation involving stationary and non-stationary, structured and non-structured inputs demonstrate that the HNN outperforms other competitive networks in terms of quantisation error, learning speed and codeword search efficiency.
Relation: 147(5) pp.485-492
URI: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/50933
Appears in Collections:[電機工程學系] 期刊論文

Files in This Item:

File Description SizeFormat

All items in NTOUR are protected by copyright, with all rights reserved.


著作權政策宣告: 本網站之內容為國立臺灣海洋大學所收錄之機構典藏,無償提供學術研究與公眾教育等公益性使用,請合理使用本網站之內容,以尊重著作權人之權益。
網站維護: 海大圖資處 圖書系統組
DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback