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一种鲁棒非平衡极速学习机算法

MENG Fan-rong GAO Chun-xiao LIU Bing

计算机应用研究2014,Vol.31Issue(4):985-988,1004,5.
计算机应用研究2014,Vol.31Issue(4):985-988,1004,5.DOI:10.3969/j.issn.1001-3695.2014.04.006

一种鲁棒非平衡极速学习机算法

Robust extreme learning machine algorithm based on imbalanced datasets

MENG Fan-rong 1GAO Chun-xiao 1LIU Bing1

作者信息

  • 1. School of Computer Science & Technology,China University of Mining & Technology,Xuzhou Jiangsu 221116,Chin
  • 折叠

摘要

Abstract

ELM algorithm can achieve better classification results for balanced datasets. For the imbalanced datasets, it is usually favor of the majority class and has lower class performance for a small number of samples. To solve this problem, this paper proposed

关键词

极速学习机/不平衡数据集/基于核的可能性模糊C-均值聚类/神经网络

Key words

extreme learning machine(ELM)/imbalanced datasets/KPFCM/neural networks

分类

信息技术与安全科学

引用本文复制引用

MENG Fan-rong,GAO Chun-xiao,LIU Bing..一种鲁棒非平衡极速学习机算法[J].计算机应用研究,2014,31(4):985-988,1004,5.

基金项目

高等学校博士学科点专项科研基金资助项目(20110095110010) (20110095110010)

国家“863”计划资助项目(2012AA011004) (2012AA011004)

计算机应用研究

OA北大核心CSCDCSTPCD

1001-3695

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