Improving the Classification Efficiency of an ANN Utilizing a New Training Methodology.
Ioannis E. LivierisPublished in: Informatics (2019)
Keyphrases
- training samples
- training set
- classification accuracy
- artificial neural networks
- machine learning
- training phase
- pattern recognition
- supervised learning
- multi layer perceptron
- classification systems
- neural network
- benchmark classification problems
- training process
- support vector
- classification scheme
- support vector machine
- active learning
- classification performances
- image classification
- training procedure
- feed forward neural networks
- classification algorithm
- pattern classification
- decision trees
- data sets
- labelled data
- classification process
- class labels
- back propagation
- text classification
- automatic classification
- training algorithm
- feature extraction
- training data
- genetic algorithm
- using artificial neural networks
- radial basis function network
- support vector machine svm
- training speed
- feature set
- avoid overfitting
- hidden markov models