On the Strong Convergence of the Recursive Orthogonal Series-Type Kernel Probabilistic Neural Networks Handling Time-Varying Noise.
Piotr DudaMarcin KorytkowskiPublished in: ICAISC (1) (2012)
Keyphrases
- probabilistic neural networks
- neural network
- probabilistic neural network
- convergence rate
- machine learning
- multilayer perceptron
- noise reduction
- language model
- neural network model
- signal to noise ratio
- wavelet transform
- artificial neural networks
- feature space
- convergence speed
- feed forward neural networks
- noisy environments
- pattern recognition
- power distribution
- genetic algorithm