A Novel Extreme Learning Machine Classification Model for e-Nose Application Based on the Multiple Kernel Approach

Yulin Jian
Yulin Jian
Daoyu Huang
Daoyu Huang
Ying Huang
Ying Huang
Tailai Wen
Tailai Wen
Tanyue Zeng
Tanyue Zeng
Qilong Xie
Qilong Xie

SENSORS, 2017.

Cited by: 10|Views3
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Abstract:

A novel classification model, named the quantum-behaved particle swarm optimization (QPSO)-based weighted multiple kernel extreme learning machine (QWMK-ELM), is proposed in this paper. Experimental validation is carried out with two different electronic nose (e-nose) datasets. Being different from the existing multiple kernel extreme lea...More

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