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- Q5156806 subject Q17093910.
- Q5156806 subject Q8382009.
- Q5156806 abstract "Compositional pattern-producing networks (CPPNs), are a variation of artificial neural networks (ANNs) which differ in their set of activation functions and how they are applied.While ANNs often contain only sigmoid functions and sometimes Gaussian functions, CPPNs can include both types of functions and many others. The choice of functions for the canonical set can be biased toward specific types of patterns and regularities. For example, periodic functions such as sine produce segmented patterns with repetitions, while symmetric functions such as Gaussian produce symmetric patterns. Linear functions can be employed to produce linear or fractal-like patterns. Thus, the architect of a CPPN-based genetic art system can bias the types of patterns it generates by deciding the set of canonical functions to include.Furthermore, unlike typical ANNs, CPPNs are applied across the entire space of possible inputs so that they can represent a complete image. Since they are compositions of functions, CPPNs in effect encode images at infinite resolution and can be sampled for a particular display at whatever resolution is optimal.CPPNs can be evolved through neuroevolution techniques such as NeuroEvolution of Augmenting Topologies (called CPPN-NEAT).CPPNs have been shown to be a very powerful encoding when evolving the following: Neural Networks, via the HyperNEAT algorithm 2D images, on "PicBreeder.org" 3D objects, on "EndlessForms.com" Robot Morphologies Rigid Robots Soft Robots".
- Q5156806 wikiPageExternalLink stanley_aaaifs06.pdf.
- Q5156806 wikiPageExternalLink stanley_gpem07.pdf.
- Q5156806 wikiPageExternalLink EndlessForms.com.
- Q5156806 wikiPageExternalLink picbreeder.org.
- Q5156806 wikiPageExternalLink watch?v=z9ptOeByLA4.
- Q5156806 wikiPageExternalLink playlist?list=PLD5943A95ABC2C0B3.
- Q5156806 wikiPageWikiLink Q1054475.
- Q5156806 wikiPageWikiLink Q1382568.
- Q5156806 wikiPageWikiLink Q152415.
- Q5156806 wikiPageWikiLink Q17093910.
- Q5156806 wikiPageWikiLink Q192776.
- Q5156806 wikiPageWikiLink Q2060528.
- Q5156806 wikiPageWikiLink Q526668.
- Q5156806 wikiPageWikiLink Q5957579.
- Q5156806 wikiPageWikiLink Q6045380.
- Q5156806 wikiPageWikiLink Q7002196.
- Q5156806 wikiPageWikiLink Q81392.
- Q5156806 wikiPageWikiLink Q8382009.
- Q5156806 comment "Compositional pattern-producing networks (CPPNs), are a variation of artificial neural networks (ANNs) which differ in their set of activation functions and how they are applied.While ANNs often contain only sigmoid functions and sometimes Gaussian functions, CPPNs can include both types of functions and many others. The choice of functions for the canonical set can be biased toward specific types of patterns and regularities.".
- Q5156806 label "Compositional pattern-producing network".