Voting base online sequential extreme learning machine for multi-class classification

• Main Authors: Cao, Jiuwen, Lin, Zhiping, Huang, Guang-Bin
• Other Authors: School of Electrical and Electronic Engineering
• Format: Conference or Workshop Item
• Language: English
• Published: 2013
• Subjects: DRNTU::Engineering::Electrical and electronic engineering
• Online Access: https://hdl.handle.net/10356/102945; http://hdl.handle.net/10220/16887
• Institution: Nanyang Technological University

In this paper, we propose a voting based online sequential extreme learning machine (VOS-ELM) for single hidden layer feedforward networks (SLFNs) to perform the online sequential multi-class classification. Utilizing the recent voting based extreme learning machine (V-ELM) and the online sequential...