Integrated feature and parameter optimization for an evolving spiking neural network: Exploring heterogeneous probabilistic models.
Stefan SchliebsMichael Defoin-PlatelSusan P. WornerNikola K. KasabovPublished in: Neural Networks (2009)
Keyphrases
- parameter optimization
- probabilistic model
- spiking neural networks
- genetic algorithm ga
- genetic algorithm
- differential evolution
- biologically inspired
- parameter estimation
- expectation maximization
- feed forward
- parameter settings
- markov random field
- learning rules
- feature vectors
- artificial neural networks
- generative model
- hyperparameters
- pid controller
- image segmentation
- feature selection