Use of artificial neural networks in the identification and classification of tomatoes.
Maciej ZaborowiczPiotr BonieckiKrzysztof KoszelaJacek PrzybylRobert MazurSebastian KujawaKrzysztof PilarskiPublished in: ICDIP (2013)
Keyphrases
- artificial neural networks
- automatic classification
- pattern recognition
- classification accuracy
- machine learning
- classification systems
- neural network
- class labels
- supervised learning
- classification algorithm
- image classification
- support vector machine
- feature extraction
- feature selection
- classification scheme
- classification rate
- classification models
- pattern classification
- classification method
- using artificial neural networks
- machine learning methods
- back propagation
- genetic algorithm ga
- decision rules
- svm classifier
- unsupervised learning
- training set
- data sets
- classification rules
- benchmark datasets
- genetic programming
- knn
- feature vectors
- clustering algorithm
- feed forward neural networks
- benchmark classification problems