A data-driven methodology for the classification of different liquids in artificial taste recognition applications with a pulse voltammetric electronic tongue.
Jersson X. Leon-MedinaLeydi J. Cardenas-FlechasDiego A. TibaduizaPublished in: Int. J. Distributed Sens. Networks (2019)
Keyphrases
- data driven
- pattern recognition
- feature extraction
- automatic recognition
- object classification
- classification accuracy
- correct recognition
- object recognition
- image classification
- recognition rate
- visual recognition
- machine learning algorithms
- recognition accuracy
- feature vectors
- pattern recognition tasks
- classification systems
- support vector
- automatic classification
- preprocessing
- classification rules
- neural network
- human recognition
- robust detection
- high recognition rate
- handwritten digits
- action recognition
- classification scheme
- class labels
- classification method
- unsupervised learning
- training data
- recognition process
- preprocessing stage
- pattern classification
- classification algorithm
- highly discriminative
- training set
- convolutional neural network