A hybrid neural network/genetic algorithm approach to optimizing feature extraction for signal classification.
George A. RovithakisMichail ManiadakisMichalis E. ZervakisPublished in: IEEE Trans. Syst. Man Cybern. Part B (2004)
Keyphrases
- genetic algorithm
- feature extraction
- fitness function
- feature vectors
- hybrid neural network
- pattern classification
- preprocessing
- dimensionality reduction
- feature selection
- face recognition
- neural network
- extracted features
- genetic programming
- multi objective
- evolutionary algorithm
- wavelet transform
- pattern recognition
- linear feature extraction
- image classification
- genetic search
- population size
- fuzzy logic
- feature extractors
- image feature extraction
- extracting features
- genetic operators
- manifold learning
- artificial neural networks
- genetic algorithm ga
- principal component analysis
- frequency domain
- metaheuristic
- image processing
- texture analysis
- optimization method
- job shop scheduling problem
- texture features
- encoding scheme
- penalty function
- feature representation
- feature space
- multi objective optimization
- fuzzy artmap
- real coded
- gabor filters
- simulated annealing
- immune genetic algorithm
- feature set