Breast Tumor Classification Using Fast Convergence Recurrent Wavelet Elman Neural Networks.
Enkh-Amgalan BoldbaatarLo-Yi LinChih-Min LinPublished in: Neural Process. Lett. (2019)
Keyphrases
- recurrent neural networks
- neural network
- pattern recognition
- neural network model
- classification scheme
- recurrent networks
- feed forward
- text classification
- classification accuracy
- weight update
- multi layer perceptron
- multiscale
- feature vectors
- support vector machine
- feature extraction
- training process
- wavelet coefficients
- pattern classification
- classification method
- training set
- wavelet packet transform
- rule extraction
- decision trees
- classification models
- support vector
- preprocessing
- model selection
- support vector machine svm
- fault diagnosis
- wavelet domain
- back propagation
- benchmark datasets
- automatic classification
- classification algorithm
- convergence rate
- learning rules
- feature space
- learning vector quantization
- multiresolution analysis
- fuzzy logic
- wavelet features
- genetic algorithm
- data sets