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A New Method Combining KECA-LDA With ELM for Classification of Chinese Liquors Using Electronic Nose

https://doi.org/10.1109/jsen.2016.2606163
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/s00521-013-1424-9openalex-snapshot
An efficient KPCA algorithm based on feature correlation evaluation
inferredcites →https://doi.org/10.1016/j.foodcont.2012.02.024openalex-snapshot
Application of electronic nose in Chinese spirits quality control and flavour assessment
inferredcites →https://doi.org/10.1016/j.foodres.2011.09.008openalex-snapshot
Colorimetric artificial nose for identification of Chinese liquor with different geographic origins
inferredcites →https://doi.org/10.1016/j.neucom.2014.06.068openalex-snapshot
Identification and quantification of concurrent control chart patterns using extreme-point symmetric mode decomposition and extreme learning machines
inferredcites →https://doi.org/10.1016/j.protcy.2012.02.101openalex-snapshot
Review of Electronic-nose Technologies and Algorithms to Detect Hazardous Chemicals in the Environment
inferredcites →https://doi.org/10.1016/j.snb.2003.09.018openalex-snapshot
An electronic nose and modular radial basis function network classifiers for recognizing multiple fragrant materials
inferredcites →https://doi.org/10.1016/j.snb.2008.04.006openalex-snapshot
Identification of different alcoholic beverages by electronic nose coupled to GC
inferredcites →https://doi.org/10.1016/j.snb.2009.12.027openalex-snapshot
Long term stability of metal oxide-based gas sensors for e-nose environmental applications: An overview
inferredcites →https://doi.org/10.1016/j.snb.2011.02.034openalex-snapshot
Short time gas delivery pattern improves long-term sensor reproducibility
inferredcites →https://doi.org/10.1039/c3ay41579aopenalex-snapshot
Nondestructive detection of fish freshness during its preservation by combining electronic nose and electronic tongue techniques in conjunction with chemometric analysis
inferredcites →https://doi.org/10.1039/c4ay02230kopenalex-snapshot
A novel method for rapid discrimination of bulbus of Fritillaria by using electronic nose and electronic tongue technology
inferredcites →https://doi.org/10.1039/c5ay00572hopenalex-snapshot
Instrumental assessment of red meat origins and their storage time using electronic sensing systems
inferredcites →https://doi.org/10.1039/c5ay00596eopenalex-snapshot
Quantifying of total volatile basic nitrogen (TVB-N) content in chicken using a colorimetric sensor array and nonlinear regression tool
inferredcites →https://doi.org/10.1039/c5ay01268fopenalex-snapshot
Monitoring the wheat straw fermentation process using an electronic nose with pattern recognition methods
inferredcites →https://doi.org/10.1063/1.4874326openalex-snapshot
Electronic nose with a new feature reduction method and a multi-linear classifier for Chinese liquor classification
inferredcites →https://doi.org/10.1080/10942912.2014.915850openalex-snapshot
Detection of Adulteration in Saffron Samples Using Electronic Nose
inferredcites →https://doi.org/10.1109/icmew.2014.6890577openalex-snapshot
A fisher discriminant framework based on Kernel Entropy Component Analysis for feature extraction and emotion recognition
inferredcites →https://doi.org/10.1109/ijcnn.2004.1380068openalex-snapshot
Extreme learning machine: a new learning scheme of feedforward neural networks
inferredcites →https://doi.org/10.1109/tpami.2005.33openalex-snapshot
KPCA plus LDA: a complete kernel Fisher discriminant framework for feature extraction and recognition
inferredcites →https://doi.org/10.1109/tpami.2009.100openalex-snapshot
Kernel Entropy Component Analysis
inferredcites →https://doi.org/10.1109/tsmcb.2011.2168604openalex-snapshot
Extreme Learning Machine for Regression and Multiclass Classification
inferredcites →https://doi.org/10.1111/j.1469-1809.1936.tb02137.xopenalex-snapshot
THE USE OF MULTIPLE MEASUREMENTS IN TAXONOMIC PROBLEMS
inferredcites →https://doi.org/10.1162/089976698300017467openalex-snapshot
Nonlinear Component Analysis as a Kernel Eigenvalue Problem
inferredcites →https://doi.org/10.3390/s130202295openalex-snapshot
Diverse Applications of Electronic-Nose Technologies in Agriculture and Forestry
inferredcites →https://doi.org/10.3390/s131216625openalex-snapshot
Design and Test of a Biosensor-Based Multisensorial System: A Proof of Concept Study
inferredcites →https://doi.org/10.3390/s150100899openalex-snapshot
Electronic-Nose Applications for Fruit Identification, Ripeness and Quality Grading
inferredcites →https://doi.org/10.3390/s90705099openalex-snapshot
Applications and Advances in Electronic-Nose Technologies
inferredcites →https://doi.org/10.3724/sp.j.1016.2010.00279openalex-snapshot
Research on Extreme Learning of Neural Networks

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4505377openalex-extracted
inferred← citeshttps://doi.org/10.1007/s11694-021-01083-6openalex-snapshot
Application of E-nose combined with ANN modelling for qualitative and quantitative analysis of benzoic acid in cola-type beverages
inferred← citeshttps://doi.org/10.1016/j.aca.2017.07.028openalex-snapshot
A correlated information removing based interference suppression technique in electronic nose for detection of bacteria
inferred← citeshttps://doi.org/10.1016/j.engappai.2018.06.010openalex-snapshot
Adaptive online sequential extreme learning machine for frequency-dependent noise data on offshore oil rig
inferred← citeshttps://doi.org/10.1016/j.jfoodeng.2019.07.023openalex-snapshot
A deep feature mining method of electronic nose sensor data for identifying beer olfactory information
inferred← citeshttps://doi.org/10.1016/j.measurement.2019.03.011openalex-snapshot
Long-term robust identification potential of a wavelet packet decomposition based recursive drift correction of E-nose data for Chinese spirits
inferred← citeshttps://doi.org/10.1016/j.snb.2024.135272openalex-snapshot
A novel electronic nose classification prediction method based on TETCN
inferred← citeshttps://doi.org/10.1016/j.snb.2026.140730openalex-snapshot
CST-EVT: Contrastive spatio-temporal network with extreme value theory for open-set bacterial recognition in wound infections using an electronic nose
inferred← citeshttps://doi.org/10.1063/1.5023137openalex-snapshot
A gas source declaration scheme based on a tetrahedral sensor structure in three-dimensional airflow environments
inferred← citeshttps://doi.org/10.1109/cyber.2018.8688166openalex-snapshot
A Fast Method for Chinese Liquor Recognition
inferred← citeshttps://doi.org/10.1109/icsp54964.2022.9778451openalex-snapshot
Perfume identification using a chemical sensor array via LightGBM and prepositive feature reduction
inferred← citeshttps://doi.org/10.1109/jsen.2017.2774438openalex-snapshot
Using Spike-Based Bio-Inspired Olfactory Model for Data Processing in Electronic Noses
inferred← citeshttps://doi.org/10.1109/jsen.2018.2871599openalex-snapshot
Data Processing for Multiple Electronic Noses Using Sensor Response Visualization
inferred← citeshttps://doi.org/10.1109/jsen.2021.3075703openalex-snapshot
Channel Attention Convolutional Neural Network for Chinese Baijiu Detection With E-Nose
inferred← citeshttps://doi.org/10.1109/jsen.2021.3079424openalex-snapshot
A Fast Pearson Graph Convolutional Network Combined With Electronic Nose to Identify the Origin of Rice
inferred← citeshttps://doi.org/10.1109/jsen.2022.3144689openalex-snapshot
A Double Triangular Feature-Based Sensor Sequence Coding Approach for Identifying Chinese Liquors Using an E-Nose System
inferred← citeshttps://doi.org/10.1109/jsen.2022.3156595openalex-snapshot
Accurate Strain Extraction via Kernel Extreme Learning Machine for Fiber Bragg Grating Sensor
inferred← citeshttps://doi.org/10.1145/3264560.3264575openalex-snapshot
The Performance Analysis of Extreme Learning Machines on Odour Recognition
inferred← citeshttps://doi.org/10.1155/2018/1092718openalex-snapshot
Detecting and Identifying Industrial Gases by a Method Based on Olfactory Machine at Different Concentrations
inferred← citeshttps://doi.org/10.1177/00202940221090973openalex-snapshot
A global extended extreme learning machine combined with electronic nose for identifying tea gas information
inferred← citeshttps://doi.org/10.1186/s12911-023-02312-2openalex-snapshot
Prostate cancer detection using e-nose and AI for high probability assessment
inferred← citeshttps://doi.org/10.23919/ccc50068.2020.9189213openalex-snapshot
A Novel E-Nose Chamber Design for VOCs Detection in Automobiles
inferred← citeshttps://doi.org/10.2991/iccia-17.2017.37openalex-snapshot
Finger Vein Recognition Using 2DGabor Combined With OECA
inferred← citeshttps://doi.org/10.3168/jds.2020-19987openalex-snapshot
Application of E-nose technology combined with artificial neural network to predict total bacterial count in milk
inferred← citeshttps://doi.org/10.3390/electronics12041041openalex-snapshot
Using a Light-Weight CNN for Perfume Identification with An Integrated Handheld Electronic Nose
inferred← citeshttps://doi.org/10.3390/foods8010038openalex-snapshot
Discrimination of Chinese Liquors Based on Electronic Nose and Fuzzy Discriminant Principal Component Analysis
inferred← citeshttps://doi.org/10.3390/s17081917openalex-snapshot
Development of the MOOSY4 eNose IoT for Sulphur-Based VOC Water Pollution Detection
inferred← citeshttps://doi.org/10.3390/s17122855openalex-snapshot
Stacked Sparse Auto-Encoders (SSAE) Based Electronic Nose for Chinese Liquors Classification
inferred← citeshttps://doi.org/10.3390/s20092514openalex-snapshot
Five Typical Stenches Detection Using an Electronic Nose
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