Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/100354
Title: Voting based extreme learning machine
Authors: Cao, Jiuwen
Lin, Zhiping
Huang, Guang-Bin
Liu, Nan
Keywords: DRNTU::Engineering::Electrical and electronic engineering
Issue Date: 2011
Source: Cao, J., Lin, Z., Huang, G.-B., & Liu, N. (2011). Voting based extreme learning machine. Information Sciences, 185(1), 66–77.
Series/Report no.: Information sciences
Abstract: 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.
URI: https://hdl.handle.net/10356/100354
http://hdl.handle.net/10220/13604
DOI: http://dx.doi.org/10.1016/j.ins.2011.09.015
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:EEE Journal Articles

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