Enhancing Electronic Nose Performance by Feature Selection Using an Improved Grey Wolf Optimization Based Algorithm
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Enhancing Electronic Nose Performance by Feature Selection Using an Improved Grey Wolf Optimization Based Algorithm
Authors
Keywords
-
Journal
SENSORS
Volume 20, Issue 15, Pages 4065
Publisher
MDPI AG
Online
2020-07-22
DOI
10.3390/s20154065
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Improved Binary Grey Wolf Optimizer and Its application for feature selection
- (2020) Pei Hu et al. KNOWLEDGE-BASED SYSTEMS
- Air Quality Monitoring for Vulnerable Groups in Residential Environments Using a Multiple Hazard Gas Detector
- (2019) Yujiao Wu et al. SENSORS
- Binary multi-verse optimization algorithm for global optimization and discrete problems
- (2019) Nailah Al-Madi et al. International Journal of Machine Learning and Cybernetics
- Indian language identification using time-frequency image textural descriptors and GWO-based feature selection
- (2019) Amit A. Chowdhury et al. JOURNAL OF EXPERIMENTAL & THEORETICAL ARTIFICIAL INTELLIGENCE
- Wine quality rapid detection using a compact electronic nose system: Application focused on spoilage thresholds by acetic acid
- (2019) Juan C. Rodriguez Gamboa et al. LWT-FOOD SCIENCE AND TECHNOLOGY
- Meat and Fish Freshness Assessment by a Portable and Simplified Electronic Nose System (Mastersense)
- (2019) Grassi et al. SENSORS
- Improved grey wolf optimization-based feature subset selection with fuzzy neural classifier for financial crisis prediction
- (2019) Shweta Sankhwar et al. SOFT COMPUTING
- A survey on new generation metaheuristic algorithms
- (2019) Tansel Dokeroglu et al. COMPUTERS & INDUSTRIAL ENGINEERING
- Recent studies on optimisation method of Grey Wolf Optimiser (GWO): a review (2014–2017)
- (2018) N. M. Hatta et al. ARTIFICIAL INTELLIGENCE REVIEW
- Feature selection using firefly optimization for classification and regression models
- (2018) Li Zhang et al. DECISION SUPPORT SYSTEMS
- Least Squares Neural Network-Based Wireless E-Nose System Using an SnO2 Sensor Array
- (2018) Areej Shahid et al. SENSORS
- Binary Grasshopper Optimisation Algorithm Approaches for Feature Selection Problems
- (2018) Majdi Mafarja et al. EXPERT SYSTEMS WITH APPLICATIONS
- Binary grey wolf optimization approaches for feature selection
- (2016) E. Emary et al. NEUROCOMPUTING
- A binary clonal flower pollination algorithm for feature selection
- (2016) Safinaz AbdEl-Fattah Sayed et al. PATTERN RECOGNITION LETTERS
- Human breath-print identification by E-nose, using information-theoretic feature selection prior to classification
- (2015) X. Rosalind Wang et al. SENSORS AND ACTUATORS B-CHEMICAL
- Feature selection and analysis on correlated gas sensor data with recursive feature elimination
- (2015) Ke Yan et al. SENSORS AND ACTUATORS B-CHEMICAL
- Grey Wolf Optimizer
- (2014) Seyedali Mirjalili et al. ADVANCES IN ENGINEERING SOFTWARE
- Chemical Discrimination in Turbulent Gas Mixtures with MOX Sensors Validated by Gas Chromatography-Mass Spectrometry
- (2014) Jordi Fonollosa et al. SENSORS
- On the calibration of sensor arrays for pattern recognition using the minimal number of experiments
- (2013) Irene Rodriguez-Lujan et al. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
- A survey on feature selection methods
- (2013) Girish Chandrashekar et al. COMPUTERS & ELECTRICAL ENGINEERING
- A swarm optimization algorithm inspired in the behavior of the social-spider
- (2013) Erik Cuevas et al. EXPERT SYSTEMS WITH APPLICATIONS
- Signal and Data Processing for Machine Olfaction and Chemical Sensing: A Review
- (2012) S. Marco et al. IEEE SENSORS JOURNAL
- Enhancing electronic nose performance: A novel feature selection approach using dynamic social impact theory and moving window time slicing for classification of Kangra orthodox black tea (Camellia sinensis (L.) O. Kuntze)
- (2012) Rishemjit Kaur et al. SENSORS AND ACTUATORS B-CHEMICAL
- Chemical gas sensor drift compensation using classifier ensembles
- (2012) Alexander Vergara et al. SENSORS AND ACTUATORS B-CHEMICAL
- S-shaped versus V-shaped transfer functions for binary Particle Swarm Optimization
- (2012) Seyedali Mirjalili et al. Swarm and Evolutionary Computation
- Advances in Electronic-Nose Technologies Developed for Biomedical Applications
- (2011) Alphus D. Wilson et al. SENSORS
- Firefly algorithm, stochastic test functions and design optimisation
- (2010) Xin She Yang International Journal of Bio-Inspired Computation
- Random forests and nearest shrunken centroids for the classification of sensor array data
- (2008) Matteo Pardo et al. SENSORS AND ACTUATORS B-CHEMICAL
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started