A series of failed and partially successful fitness functions for evolving spiking neural networks.
J. David SchafferHeike SichtigCraig B. LarameePublished in: GECCO (Companion) (2009)
Keyphrases
- fitness function
- spiking neural networks
- genetic programming
- genetic algorithm
- evolutionary algorithm
- genetic algorithm ga
- evolutionary process
- biologically inspired
- evolutionary computation
- spiking neurons
- search space
- learning rules
- biologically plausible
- feed forward
- multi objective
- artificial neural networks
- neural network
- fitness evaluation
- multi objective optimization
- nsga ii
- decision making
- evolutionary search
- training algorithm
- multiscale
- object recognition
- back propagation