Learning Networks for Learning the Pattern Vectors causing Classification Error

Lee Yong Gu; CHOI , WOO SEUNG

Journal of The Korea Society of Computer and Information

Abbr : JKSCI
2005, 10(5), pp.77-86
Publisher : The Korean Society Of Computer And Information
Research Area : Computer Science

Lee Yong Gu ¹, CHOI , WOO SEUNG ²

¹한림성심대학교
²경원대학교

ABSTRACT

In this paper, we designed a learning algorithm of LVQ that extracts classification errors and learns ones and improves classification performance. The proposed LVQ learning algorithm is the learning Networks which is use SOM to learn initial reference vectors and out-star learning algorithm to determine the class of the output neurons of LVQ. To extract pattern vectors which cause classification errors, we proposed the error-cause condition, which uses that condition and constructed the pattern vector space which consists of the input pattern vectors that cause the classification errors and learned these pattern vectors, and improved performance of the pattern classification.To prove the performance of the proposed learning algorithm, the simulation is performed by using training vectors and test vectors that are Fisher'Iris data and EMG data, and classification performance of the proposed learning method is compared with ones of the conventional LVQ, and it was a confirmation that the proposed learning method is more successful classification than the conventional classification.
KEYWORDS

LVQ, error causing condition, pattern classification
REFERENCES (10)

[journal] / 2000 / “내용기반 복합 영상 검색시스템을 위한 적응적 특징 자가선택과 다중 SOFM 신경망” 5(2)

[journal] / 2005 / “근전도 패턴인식을 위한 혼합형 LVQ 학습 알고리즘” 10(2) : 113~121

[journal] / 2003 / “가상로봇 팔 제어를 위한 퍼지-SOFM 방식의 근전도 패턴인식” 40(ci편 2)

[journal] / 2004 / 을 이용한 3단 LVQ 학습알고리즘 : 33~39

[journal] / 19-321987 / IEEE International Conference on Neural Networks

[journal] / 1987 / “A Massively Parallel Architecture for a Self-Organizing Neural Pattern Recognition Machine : 54~115

[journal] / 1987 / Self-organization of Stable Category Recognition Codes for Analog Input Patterns : 151~162

[journal] / 1990 / Proceedings of the IEEE : 1464~1480

[journal] / 1990 / “Conergence of Kohonen's Learning Vector Quantization” : 17~20

[journal] / 1992 / 　Quantitative Properties of Kohonen's Self-Organizing Maps as Adaptive Vector Quantizers 　IEICE transactions on information and systems : 1085~1092
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