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

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...

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Bibliographic Details
Main Authors: Yulin Jian, Daoyu Huang, Jia Yan, Kun Lu, Ying Huang, Tailai Wen, Tanyue Zeng, Shijie Zhong, Qilong Xie
Format: Article
Language:English
Published: MDPI AG 2017-06-01
Series:Sensors
Subjects:
electronic nose
gas classification
extreme learning machine
multiple kernel learning
weighted kernels
parameter optimization
Online Access:http://www.mdpi.com/1424-8220/17/6/1434

Internet

http://www.mdpi.com/1424-8220/17/6/1434

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