A Novel Extreme Learning Machine Classification Model for e-Nose Application Based on the Multiple Kernel Approach-Reference-Cited by-同舟云学术

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

Published:2017-06-19 Issue:6 Volume:17 Page:1434
ISSN:1424-8220
Container-title:Sensors
language:en
Short-container-title:Sensors

Author:

Jian Yulin,Huang Daoyu,Yan Jia,Lu Kun,Huang Ying,Wen Tailai,Zeng Tanyue,Zhong Shijie,Xie Qilong

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Link

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

Reference59 articles.

1. Breath sensors for lung cancer diagnosis

2. Detecting internal quality of peanuts during storage using electronic nose responses combined with physicochemical methods

3. Quality Evaluation of Agricultural Distillates Using an Electronic Nose

4. Electronic nose: a useful tool for monitoring environmental contamination

5. A brief history of electronic noses

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3. Big Data Classification Model and Algorithm Based on Double Quantum Particle Swarm Optimization;2023 IEEE International Conference on Control, Electronics and Computer Technology (ICCECT);2023-04-28

4. Advanced Algorithms for Low Dimensional Metal Oxides-Based Electronic Nose Application: A Review;Crystals;2023-04-03

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