Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales:	Jian, Yulin, Huang, Daoyu, Yan, Jia, Lu, Kun, Huang, Ying, Wen, Tailai, Zeng, Tanyue, Zhong, Shijie, Xie, Qilong
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2017
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5492859/ https://www.ncbi.nlm.nih.gov/pubmed/28629202 http://dx.doi.org/10.3390/s17061434

Ejemplares similares

Feature Extraction of Electronic Nose Signals Using QPSO-Based Multiple KFDA Signal Processing
por: Wen, Tailai, et al.
Publicado: (2018)

A Novel Reformed Reduced Kernel Extreme Learning Machine with RELIEF-F for Classification
por: Liu, Zongying, et al.
Publicado: (2022)

E-Nose Discrimination of Almond Oils Extracted from Roasted Kernels
por: Álvarez-Ortí, Manuel, et al.
Publicado: (2022)

Domain Correction Based on Kernel Transformation for Drift Compensation in the E-Nose System
por: Tao, Yang, et al.
Publicado: (2018)

Classification of EEG Signals Using a Multiple Kernel Learning Support Vector Machine
por: Li, Xiaoou, et al.
Publicado: (2014)

ACO-KELM: Anti Coronavirus Optimized Kernel-based Softplus Extreme Learning Machine for Classification of Skin Cancer
por: Liu, Nannan, et al.
Publicado: (2023)

Alumina Concentration Detection Based on the Kernel Extreme Learning Machine
por: Zhang, Sen, et al.
Publicado: (2017)

Data‐driven modeling based on kernel extreme learning machine for sugarcane juice clarification
por: Meng, Yanmei, et al.
Publicado: (2019)

Online Sensor Drift Compensation for E-Nose Systems Using Domain Adaptation and Extreme Learning Machine
por: Ma, Zhiyuan, et al.
Publicado: (2018)

An Improved Kernel Based Extreme Learning Machine for Robot Execution Failures
por: Li, Bin, et al.
Publicado: (2014)

A Novel Semi-Supervised Electronic Nose Learning Technique: M-Training
por: Jia, Pengfei, et al.
Publicado: (2016)

Correlation Kernels for Support Vector Machines Classification with Applications in Cancer Data
por: Jiang, Hao, et al.
Publicado: (2012)

An Enhanced Grey Wolf Optimization Based Feature Selection Wrapped Kernel Extreme Learning Machine for Medical Diagnosis
por: Li, Qiang, et al.
Publicado: (2017)

Classification of Multiple Chinese Liquors by Means of a QCM-based E-Nose and MDS-SVM Classifier
por: Li, Qiang, et al.
Publicado: (2017)

A Novel Semi-Supervised Method of Electronic Nose for Indoor Pollution Detection Trained by M-S4VMs
por: Huang, Tailai, et al.
Publicado: (2016)

A Novel Optimization Technique to Improve Gas Recognition by Electronic Noses Based on the Enhanced Krill Herd Algorithm
por: Wang, Li, et al.
Publicado: (2016)

A Novel Pre-Processing Technique for Original Feature Matrix of Electronic Nose Based on Supervised Locality Preserving Projections
por: Jia, Pengfei, et al.
Publicado: (2016)

COVID-19 Detection System Using Chest CT Images and Multiple Kernels-Extreme Learning Machine Based on Deep Neural Network
por: Turkoglu, M.
Publicado: (2021)

Rare Variants Detection with Kernel Machine Learning Based on Likelihood Ratio Test
por: Zeng, Ping, et al.
Publicado: (2014)

Efficient Multiple Channels EEG Signal Classification Based on Hierarchical Extreme Learning Machine
por: Lyu, Songyang, et al.
Publicado: (2023)

Automatic plankton image classification combining multiple view features via multiple kernel learning
por: Zheng, Haiyong, et al.
Publicado: (2017)

Multivariate Pattern Analysis of Lifelong Premature Ejaculation Based on Multiple Kernel Support Vector Machine
por: Geng, Bowen, et al.
Publicado: (2022)

An Expert Diagnosis System for Parkinson Disease Based on Genetic Algorithm-Wavelet Kernel-Extreme Learning Machine
por: Avci, Derya, et al.
Publicado: (2016)

Combined Kernel-Based BDT-SMO Classification of Hyperspectral Fused Images
por: Huang, Fenghua, et al.
Publicado: (2014)

Introducing chaos behavior to kernel relevance vector machine (RVM) for four-class EEG classification
por: Dong, Enzeng, et al.
Publicado: (2018)

A Machine Learning Method for the Quantitative Detection of Adulterated Meat Using a MOS-Based E-Nose
por: Huang, Changquan, et al.
Publicado: (2022)

Performance evaluation of E-nose and E-tongue combined with machine learning for qualitative and quantitative assessment of bear bile powder
por: Lei, Kelu, et al.
Publicado: (2023)

Multi-Nyström Method Based on Multiple Kernel Learning for Large Scale Imbalanced Classification
por: Wang, Ling, et al.
Publicado: (2021)

Prediction of COVID-19 - Pneumonia based on Selected Deep Features and One Class Kernel Extreme Learning Machine
por: Khan, Muhammad Attique, et al.
Publicado: (2021)

Fast Fault Diagnosis in Industrial Embedded Systems Based on Compressed Sensing and Deep Kernel Extreme Learning Machines
por: Shan, Nanliang, et al.
Publicado: (2022)

Mining Feature of Data Fusion in the Classification of Beer Flavor Information Using E-Tongue and E-Nose
por: Men, Hong, et al.
Publicado: (2017)

Pulse Waveform Classification Using Support Vector Machine with Gaussian Time Warp Edit Distance Kernel
por: Jia, Danbing, et al.
Publicado: (2014)

Application of quantum machine learning using quantum kernel algorithms on multiclass neuron M-type classification
por: Vasques, Xavier, et al.
Publicado: (2023)

The Effectiveness of Varroa destructor Infestation Classification Using an E-Nose Depending on the Time of Day
por: Szczurek, Andrzej, et al.
Publicado: (2020)

Classification of Two Volatiles Using an eNose Composed by an Array of 16 Single-Type Miniature Micro-Machined Metal-Oxide Gas Sensors
por: Palacín, Jordi, et al.
Publicado: (2022)

Rapid Identification of Asteraceae Plants with Improved RBF-ANN Classification Models Based on MOS Sensor E-Nose
por: Zou, Hui-Qin, et al.
Publicado: (2014)

Pulmonary Nodule Recognition Based on Multiple Kernel Learning Support Vector Machine-PSO
por: Li, Yang, et al.
Publicado: (2018)

Prediction of post-translational modification sites using multiple kernel support vector machine
por: Wang, BingHua, et al.
Publicado: (2017)

Distribution Adaptation and Classification Framework Based on Multiple Kernel Learning for Motor Imagery BCI Illiteracy
por: Tao, Lin, et al.
Publicado: (2022)

A runoff prediction method based on hyperparameter optimisation of a kernel extreme learning machine with multi-step decomposition
por: Zhang, Xianqi, et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_pddm4p0kb78b9k3g33dcdnjsuv