Identification of radar signals using neural network classifier with low-discrepancy optimisation.
Nedyalko PetrovIvan JordanovJon RoePublished in: IEEE Congress on Evolutionary Computation (2013)
Keyphrases
- neural network
- signal processing
- fuzzy artmap
- backpropagation neural network
- learning vector quantization
- genetic algorithm
- multi layer perceptron
- incremental learning
- frequency modulation
- artificial neural networks
- binary decision tree
- feature maps
- back propagation
- decision trees
- training data
- phased array
- probabilistic neural network
- low signal to noise ratio
- feature selection
- support vector machine
- classification algorithm
- support vector
- fuzzy classifier
- feed forward neural networks
- target recognition
- bp neural network
- training set
- svm classifier
- received signal
- training process
- pattern recognition
- feature space
- neural network model
- classification method
- fault diagnosis
- class labels
- neural network is trained
- nearest neighbour
- signal noise ratio
- mlp neural networks
- learning algorithm
- automatic target recognition
- semi supervised
- weak classifiers
- multilayer perceptron
- knn
- support vector machine svm
- feature set