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#Org.encog.neural.neat.training Classes and Interfaces - 20 results found.
| Name | Description | Type | Package | Framework |
| MutateLinkWeight | This interface defines various ways that a NEAT network can have its link ----------------------------------------------------------------------------- | Interface | org.encog.neural.neat.training.opp.links | HeatonReasearch |
| MutatePerturbLinkWeight | Mutate weight links by perturbing their weights. | Class | org.encog.neural.neat.training.opp.links | HeatonReasearch |
| MutateResetLinkWeight | Mutate weight links by reseting the weight to an entirely new value. | Class | org.encog.neural.neat.training.opp.links | HeatonReasearch |
| NEATBaseGene | Defines a base class for NEAT genes. | Class | org.encog.neural.neat.training | HeatonReasearch |
| NEATCrossover | Crossover is performed by mixing the link genes between the parents to produce an offspring. | Class | org.encog.neural.neat.training.opp | HeatonReasearch |
| NEATGenome | ----------------------------------------------------------------------------- http://www. | Class | org.encog.neural.neat.training | HeatonReasearch |
| NEATInnovation | previously tried with a neural network. | Class | org.encog.neural.neat.training | HeatonReasearch |
| NEATInnovationList | NeuroEvolution of Augmenting Topologies (NEAT) is a genetic algorithm for the generation of evolving artificial neural networks. | Class | org.encog.neural.neat.training | HeatonReasearch |
| NEATInnovationType | enum NEATInnovationTypeThe type of NEAT innovation. | Class | org.encog.neural.neat.training | HeatonReasearch |
| NEATLinkGene | NeuroEvolution of Augmenting Topologies (NEAT) is a genetic algorithm for the generation of evolving artificial neural networks. | Class | org.encog.neural.neat.training | HeatonReasearch |
| NEATMutateAddLink | Mutates a NEAT genome by adding a link. | Class | org.encog.neural.neat.training.opp | HeatonReasearch |
| NEATMutateAddNode | Mutate a genome by adding a new node. | Class | org.encog.neural.neat.training.opp | HeatonReasearch |
| NEATMutateRemoveLink | Mutate a genome by removing a random link. | Class | org.encog.neural.neat.training.opp | HeatonReasearch |
| NEATMutateWeights | Mutate the weights of a genome. | Class | org.encog.neural.neat.training.opp | HeatonReasearch |
| NEATMutation | This class represents a NEAT mutation. | Class | org.encog.neural.neat.training.opp | HeatonReasearch |
| NEATNeuronGene | NeuroEvolution of Augmenting Topologies (NEAT) is a genetic algorithm for the generation of evolving artificial neural networks. | Class | org.encog.neural.neat.training | HeatonReasearch |
| OriginalNEATSpeciation | The original NEAT Speciation Strategy. | Class | org.encog.neural.neat.training.species | HeatonReasearch |
| SelectFixed | Select a fixed number of link genes. | Class | org.encog.neural.neat.training.opp.links | HeatonReasearch |
| SelectLinks | This interface defines ways that NEAT links can be chosen for mutation. | Interface | org.encog.neural.neat.training.opp.links | HeatonReasearch |
| SelectProportion | Select a random proportion of links to mutate. | Class | org.encog.neural.neat.training.opp.links | HeatonReasearch |