DocumentCode
2228933
Title
A new k-groups neural network
Author
Yen, Jui-Cheng
Author_Institution
Dept. of Electron. Eng., Nat. Lien-Ho Inst. of Technol., Miaoli, Taiwan
Volume
3
fYear
2000
fDate
2000
Firstpage
658
Abstract
In this paper, a new neural network model called GROUPSTRON is proposed. Based on a competitive learning algorithm that is originated from the coarse-fine competition, GROUPSTRON can identify the k groups´ elements from a data set. All the elements in the first group are larger than all the elements in the second group and the relation holds for the successive groups. Moreover, simulation results are included to demonstrate the effectiveness of the new network model
Keywords
neural nets; pattern classification; unsupervised learning; GROUPSTRON; coarse-fine competition; competitive learning algorithm; data set; k-groups neural network; neural network model; Artificial neural networks; Biological neural networks; Electronic mail; Humans; Neural networks; Neurons; Pattern classification; Pattern recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 2000. Proceedings. ISCAS 2000 Geneva. The 2000 IEEE International Symposium on
Conference_Location
Geneva
Print_ISBN
0-7803-5482-6
Type
conf
DOI
10.1109/ISCAS.2000.856146
Filename
856146
Link To Document