evolutionary neural networks
GPTKB entity
Statements (33)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
artificial intelligence technique
machine learning method |
| gptkbp:alternativeTo |
backpropagation
|
| gptkbp:appliesTo |
optimization problems
function approximation pattern recognition |
| gptkbp:canBe |
discrete optimization
multi-objective optimization non-differentiable functions |
| gptkbp:canEvolve |
activation functions
learning rules |
| https://www.w3.org/2000/01/rdf-schema#label |
evolutionary neural networks
|
| gptkbp:notableContributor |
gptkb:David_B._Fogel
gptkb:Risto_Miikkulainen gptkb:Kenneth_O._Stanley |
| gptkbp:notableFor |
gptkb:ESP
gptkb:NEAT gptkb:HyperNEAT CoSyNE |
| gptkbp:optimizedFor |
network topology
network weights |
| gptkbp:proposedBy |
1980s
|
| gptkbp:relatedTo |
gptkb:genetic_algorithms
deep learning neuroevolution |
| gptkbp:usedIn |
control systems
robotics game playing data mining |
| gptkbp:uses |
gptkb:artificial_neural_networks
evolutionary algorithms |
| gptkbp:bfsParent |
gptkb:IEEE_Congress_on_Evolutionary_Computation_(CEC)
|
| gptkbp:bfsLayer |
8
|