![Artificial neural networks / Evolutionary algorithms / Neuroscience / Artificial intelligence / Applied mathematics / Computational neuroscience / Evolutionary computation / Genetic algorithms / HyperNEAT / Neuroevolution / Compositional pattern-producing network / Self-organizing map Artificial neural networks / Evolutionary algorithms / Neuroscience / Artificial intelligence / Applied mathematics / Computational neuroscience / Evolutionary computation / Genetic algorithms / HyperNEAT / Neuroevolution / Compositional pattern-producing network / Self-organizing map](https://www.pdfsearch.io/img/fcdf0e644d43b797068b3b542300b61b.jpg) Date: 2014-04-13 23:12:28Artificial neural networks Evolutionary algorithms Neuroscience Artificial intelligence Applied mathematics Computational neuroscience Evolutionary computation Genetic algorithms HyperNEAT Neuroevolution Compositional pattern-producing network Self-organizing map | | Guided Self-Organization in Indirectly Encoded and Evolving Topographic Maps In: Proceedings of the Genetic and Evolutionary Computation Conference (GECCONew York, NY: ACM Sebastian RisiAdd to Reading ListSource URL: eplex.cs.ucf.eduDownload Document from Source Website File Size: 1,08 MBShare Document on Facebook
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