Voting based extreme learning machine

被引：285

作者：

Cao, Jiuwen ^{[1
]}

Lin, Zhiping ^{[1
]}

Huang, Guang-Bin ^{[1
]}

Liu, Nan ^{[2
]}

机构：

[1] Nanyang Technol Univ, Sch Elect & Elect Engn, Singapore 639798, Singapore

[2] Singapore Gen Hosp, Dept Emergency Med, Singapore 169608, Singapore

来源：

INFORMATION SCIENCES | 2012年 / 185卷 / 01期

关键词：

Classification; Extreme learning machine; Majority voting; Single hidden layer feedforward networks; Ensemble methods; MULTILAYER FEEDFORWARD NETWORKS; SUPPORT VECTOR MACHINES; PATTERN-CLASSIFICATION; HIDDEN NODES; ALGORITHM; ENSEMBLE;

D O I：

10.1016/j.ins.2011.09.015

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper proposes an improved learning algorithm for classification which is referred to as voting based extreme learning machine. The proposed method incorporates the voting method into the popular extreme learning machine (ELM) in classification applications. Simulations on many real world classification datasets have demonstrated that this algorithm generally outperforms the original ELM algorithm as well as several recent classification algorithms. (C) 2011 Elsevier Inc. All rights reserved.

引用

页码：66 / 77

页数：12

共 36 条

[21] Kay S., 1998, FUNDAMENTALS STAT SI
[22] Ensemble of online sequential extreme learning machine
Lan, Yuan
Soh, Yeng Chai
Huang, Guang-Bin
[J]. NEUROCOMPUTING, 2009, 72 (13-15) : 3391 - 3395
[23] A self-constructing fuzzy CMAC model and its applications
Lee, Chi-Yung
Lin, Cheng-Jian
Chen, Huei-Jen
[J]. INFORMATION SCIENCES, 2007, 177 (01) : 264 - 280
[24] Levenberg K, 1944, Q Appl Math, V2, P164, DOI [10.1090/QAM/10666, 10.1090/qam/10666, DOI 10.1090/QAM/10666, DOI 10.1090/QAM/1944-02-02]
[25] Rough set based 1-v-1 and 1-v-r approaches to support vector machine multi-classification
Lingras, Pawan
Butz, Cory
[J]. INFORMATION SCIENCES, 2007, 177 (18) : 3782 - 3798
[26] Ensemble Based Extreme Learning Machine
Liu, Nan
Wang, Han
[J]. IEEE SIGNAL PROCESSING LETTERS, 2010, 17 (08) : 754 - 757
[27] AN ALGORITHM FOR LEAST-SQUARES ESTIMATION OF NONLINEAR PARAMETERS
MARQUARDT, DW
[J]. JOURNAL OF THE SOCIETY FOR INDUSTRIAL AND APPLIED MATHEMATICS, 1963, 11 (02): : 431 - 441
[28] OP-ELM: Optimally Pruned Extreme Learning Machine
Miche, Yoan
Sorjamaa, Antti
Bas, Patrick
Simula, Olli
Jutten, Christian
Lendasse, Amaury
[J]. IEEE TRANSACTIONS ON NEURAL NETWORKS, 2010, 21 (01): : 158 - 162
[29] Polikar R., 2006, IEEE Circuits and Systems Magazine, V6, P21, DOI 10.1109/MCAS.2006.1688199
[30] VANHEESWIJK M, NEUROCOMPUT IN PRESS, DOI DOI 10.1016/INEUCOM.2010.11.034

← 1 2 3 4 →