Effect of training algorithms on performance of a developed automatic modulation classification using artificial neural network.
Jide Julius PopoolaRex van OlstPublished in: AFRICON (2013)
Keyphrases
- using artificial neural networks
- recently developed
- benchmark datasets
- machine learning algorithms
- learning algorithm
- training set
- classification algorithm
- pattern recognition
- artificial neural networks
- computational complexity
- computationally efficient
- theoretical analysis
- training phase
- early stopping
- training process
- significant improvement
- data sets
- image classification
- machine learning
- pattern classification
- optimization problems
- neural network model
- classification scheme
- classification rules
- machine learning methods
- supervised learning
- computational cost
- feature vectors
- feature space
- preprocessing
- support vector
- data structure
- decision trees
- neural network