Classification of Bee Pollen and Prediction of Sensory and Colorimetric Attributes - A Sensometric Fusion Approach by e-Nose, e-Tongue and NIR.
László SiposRita VéghZsanett BodorJohn-Lewis Zinia ZaukuuGéza HitkaGyörgy BázárZoltán KovácsPublished in: Sensors (2020)
Keyphrases
- classification algorithm
- classification accuracy
- feature selection
- image classification
- prediction model
- support vector
- attribute selection
- decision rules
- multi sensor
- pattern classification
- classification models
- particle swarm optimization
- digital images
- pattern recognition
- feature extraction
- neural network
- neural networks and support vector machines
- information fusion
- digital camera
- swarm intelligence
- classification rules
- classification method
- active contours
- supervised learning
- training set
- machine learning