A Novel Extreme Learning Machine Classification Model for e-Nose Application Based on the Multiple Kernel Approach
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...
Main Authors: | Yulin Jian, Daoyu Huang, Jia Yan, Kun Lu, Ying Huang, Tailai Wen, Tanyue Zeng, Shijie Zhong, Qilong Xie |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2017-06-01
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Series: | Sensors |
Subjects: | |
Online Access: | http://www.mdpi.com/1424-8220/17/6/1434 |
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