A Novel Feature Extraction Approach Using Window Function Capturing and QPSO-SVM for Enhancing Electronic Nose Performance.
about
Electronic Nose Feature Extraction Methods: A ReviewA Novel Extreme Learning Machine Classification Model for e-Nose Application Based on the Multiple Kernel Approach.A Novel Semi-Supervised Electronic Nose Learning Technique: M-Training.Enhancing Electronic Nose Performance Based on a Novel QPSO-KELM Model.A Novel Optimization Technique to Improve Gas Recognition by Electronic Noses Based on the Enhanced Krill Herd Algorithm
P2860
A Novel Feature Extraction Approach Using Window Function Capturing and QPSO-SVM for Enhancing Electronic Nose Performance.
description
2015 nî lūn-bûn
@nan
2015年の論文
@ja
2015年論文
@yue
2015年論文
@zh-hant
2015年論文
@zh-hk
2015年論文
@zh-mo
2015年論文
@zh-tw
2015年论文
@wuu
2015年论文
@zh
2015年论文
@zh-cn
name
A Novel Feature Extraction App ...... g Electronic Nose Performance.
@ast
A Novel Feature Extraction App ...... g Electronic Nose Performance.
@en
type
label
A Novel Feature Extraction App ...... g Electronic Nose Performance.
@ast
A Novel Feature Extraction App ...... g Electronic Nose Performance.
@en
prefLabel
A Novel Feature Extraction App ...... g Electronic Nose Performance.
@ast
A Novel Feature Extraction App ...... g Electronic Nose Performance.
@en
P2093
P2860
P356
P1433
P1476
A Novel Feature Extraction App ...... g Electronic Nose Performance.
@en
P2093
Fengchun Tian
Lidan Wang
Pengfei Jia
Shukai Duan
Songlin Zhang
Xiuzhen Guo
P2860
P304
15198-15217
P356
10.3390/S150715198
P407
P577
2015-06-29T00:00:00Z