Exploring The Parameter Space Of A Genetic Algorithm For Training An Analog Neural Network.
Steffen G. HohmannJohannes SchemmelFelix SchürmannKarlheinz MeierPublished in: GECCO (2002)
Keyphrases
- parameter space
- neural network
- genetic algorithm
- training process
- training algorithm
- multi layer perceptron
- feedforward neural networks
- artificial neural networks
- feed forward neural networks
- image space
- high dimensional
- starting points
- training patterns
- search space
- fuzzy logic
- back propagation
- neural network training
- multi objective
- recurrent networks
- parameter values
- linear transformations
- supervised learning
- training set
- genetic programming
- genetic algorithm ga
- fault diagnosis
- training samples
- neural network structure
- lie group
- analog circuits
- multivariate data
- recurrent neural networks
- feed forward
- fitness function
- training examples
- backpropagation algorithm
- simulated annealing
- evolutionary algorithm
- circuit design
- neural nets
- face recognition
- hough space