English  |  正體中文  |  简体中文  |  Items with full text/Total items : 26994/38795
Visitors : 2392238      Online Users : 67
RC Version 4.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Adv. Search
LoginUploadHelpAboutAdminister

Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/28018

Title: Prototype Optimization Based on Minimizing Classification Oriented Error Function
Authors: Yea‐Shuan Huang;Cheng‐Chin Chiang;Jun‐Wei Shieh;Eric Grimson
Contributors: NTOU:Department of Computer Science and Engineering
國立臺灣海洋大學:資訊工程學系
Keywords: neural networks;nearest neighbor classification;prototype optimization
Date: 2001
Issue Date: 2011-10-21T02:35:11Z
Publisher: Journal of the Chinese Institute of Engineers
Abstract: Abstract:A novel method of constructing optimized prototypes for nearest- neighbor classification is proposed. Based on an effective classification oriented error function containing class identification and class separation components, the corresponding updating rules for prototypes and feature weights are derived. By minimizing the error function, the optimized prototypes and feature weights from the nearest-neighbor classification point of view can be effectively constructed. The proposed method consists of several distinct process; Second, multiple prototypes not belonging to the true class of input sample x are updated when x is classified incorrectly; Third, it intrinsically assigns different learning factors to training samples, which enables a large amount of learning from constructive samples, and limited learning from outlier ones; Fourth, by adding a class separation component it avoids the degenerated situation where different prototypes coincide at the same feature position. Experiment results have shown that the proposed methods superior to LVQ2 and other method in previous work (Huang, 1995).
Relation: 24(6), pp.771-780
URI: http://ntour.ntou.edu.tw/handle/987654321/28018
Appears in Collections:[資訊工程學系] 期刊論文

Files in This Item:

File Description SizeFormat
index.html0KbHTML180View/Open


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