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- Q5957579 subject Q17093910.
- Q5957579 subject Q7011779.
- Q5957579 subject Q7019758.
- Q5957579 subject Q8482260.
- Q5957579 abstract "Hypercube-based NEAT, or HyperNEAT, is a generative encoding that evolves artificial neural networks (ANNs) with the principles of the widely used NeuroEvolution of Augmented Topologies (NEAT) algorithm. It is a novel technique for evolving large-scale neural networks using the geometric regularities of the task domain. It uses Compositional Pattern Producing Networks (CPPNs), which are used to generate the images for Picbreeder.org and shapes for EndlessForms.com. HyperNEAT has recently been extended to also evolve plastic ANNs and to evolve the location of every neuron in the network.".
- Q5957579 wikiPageExternalLink EndlessForms.com.
- Q5957579 wikiPageExternalLink PicBreeder.org.
- Q5957579 wikiPageExternalLink evolution-101-neuroevolution.
- Q5957579 wikiPageExternalLink eplex.cs.ucf.edu.
- Q5957579 wikiPageExternalLink HyperNEAT.html.
- Q5957579 wikiPageExternalLink ~kstanley.
- Q5957579 wikiPageExternalLink neat.html.
- Q5957579 wikiPageExternalLink www.picbreeder.org.
- Q5957579 wikiPageExternalLink watch?v=V2ADU8YWIug.
- Q5957579 wikiPageWikiLink Q17093910.
- Q5957579 wikiPageWikiLink Q192776.
- Q5957579 wikiPageWikiLink Q5156806.
- Q5957579 wikiPageWikiLink Q7002196.
- Q5957579 wikiPageWikiLink Q7011779.
- Q5957579 wikiPageWikiLink Q7019758.
- Q5957579 wikiPageWikiLink Q8482260.
- Q5957579 comment "Hypercube-based NEAT, or HyperNEAT, is a generative encoding that evolves artificial neural networks (ANNs) with the principles of the widely used NeuroEvolution of Augmented Topologies (NEAT) algorithm. It is a novel technique for evolving large-scale neural networks using the geometric regularities of the task domain. It uses Compositional Pattern Producing Networks (CPPNs), which are used to generate the images for Picbreeder.org and shapes for EndlessForms.com.".
- Q5957579 label "HyperNEAT".