A Novel Extreme Learning Machine Classification Model for e-Nose Application Based on the Multiple Kernel Approach.
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A Novel Online Sequential Extreme Learning Machine for Gas Utilization Ratio Prediction in Blast Furnaces.Towards Intelligent Interpretation of Low Strain Pile Integrity Testing Results Using Machine Learning Techniques.Feature Extraction of Electronic Nose Signals Using QPSO-Based Multiple KFDA Signal Processing.Odor Discrimination by Similarity Measures of Abstract Odor Factor Maps from Electronic Noses
P2860
A Novel Extreme Learning Machine Classification Model for e-Nose Application Based on the Multiple Kernel Approach.
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2017 nî lūn-bûn
@nan
2017 թուականի Յունիսին հրատարակուած գիտական յօդուած
@hyw
2017 թվականի հունիսին հրատարակված գիտական հոդված
@hy
2017年の論文
@ja
2017年論文
@yue
2017年論文
@zh-hant
2017年論文
@zh-hk
2017年論文
@zh-mo
2017年論文
@zh-tw
2017年论文
@wuu
name
A Novel Extreme Learning Machi ...... the Multiple Kernel Approach.
@ast
A Novel Extreme Learning Machi ...... the Multiple Kernel Approach.
@en
type
label
A Novel Extreme Learning Machi ...... the Multiple Kernel Approach.
@ast
A Novel Extreme Learning Machi ...... the Multiple Kernel Approach.
@en
prefLabel
A Novel Extreme Learning Machi ...... the Multiple Kernel Approach.
@ast
A Novel Extreme Learning Machi ...... the Multiple Kernel Approach.
@en
P2093
P2860
P356
P1433
P1476
A Novel Extreme Learning Machi ...... the Multiple Kernel Approach.
@en
P2093
Daoyu Huang
Qilong Xie
Shijie Zhong
Tailai Wen
Tanyue Zeng
Ying Huang
Yulin Jian
P2860
P356
10.3390/S17061434
P407
P577
2017-06-19T00:00:00Z