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Evolutionary Learning


Explicit Components

Loop

Octopus


Supervised Learning

Utilities

View

Breeder (oEL)

Evolves artificial neural networks with the NEAT algorithm, using SharpNeatLib by Sebastian Risi

Inputs

Name	ID	Description	Type
#Inputs	#Inputs	noOfInputNeurons [Bias Neuron does not count; Supply the number of dimensions you want to sample]	Integer
#Outputs	#Outputs	noOfOutputNeurons [The number of outputs you get per sample vector]	Integer
Generations	Generations	number of generations	Integer
Functions	Functions	Functions and their probabilities to use in the network	Text
Settings	Settings	Evolution parameters	CPPN evolution parameters
Seed Networks	Seed Networks	Seeding Network Solutions; will be duplicated until population size is reached, duplicates will have mutated connection weights with the given neat parameters	Network oEL
Run	Run	Run Flag - Set to true to run	Boolean

Outputs

Name	ID	Description	Type
Evolved Networks	Evolved Networks	The evolved Network Solutions	Network oEL
Failed Networks	Failed Networks	Network Solutions which failed evaluation	Network oEL
Info	Info	Info	Text
Saved Networks	Saved Networks	NeatGenomes which have been stored in the component on intermediate saves during an evolution	Network oEL