Polynomial-based radial basis function neural networks (P-RBF NNs) realized with the aid of particle swarm optimization.
Sung-Kwun OhWook-Dong KimWitold PedryczByoung-Jun ParkPublished in: Fuzzy Sets Syst. (2011)
Keyphrases
- radial basis function neural network
- particle swarm optimization
- rbfnn
- radial basis function
- hybrid algorithm
- pattern classification
- pso algorithm
- rbf neural network
- particle swarm optimization algorithm
- global optimization
- multi objective
- back propagation
- multilayer perceptron
- neural network
- sensitivity analysis
- differential evolution
- rbf network
- hidden layer
- metaheuristic
- genetic algorithm
- ant colony optimization
- convergence speed
- artificial neural networks
- function approximation
- evolutionary algorithm
- particle swarm optimization pso
- basis functions
- scheduling problem
- support vector machine svm
- optimization algorithm
- feed forward
- support vector
- feature extraction