Evolving neural networks that are both modular and regular: HyperNEAT plus the connection cost technique. Huizinga, J., Clune, J., & Mouret, J. In Proceedings of Genetic and Evolutionary Computation Conference (GECCO), pages 697-704, 2014.
Paper bibtex @inproceedings{ dblp2078140,
title = {Evolving neural networks that are both modular and regular: HyperNEAT plus the connection cost technique},
author = {Joost Huizinga and Jeff Clune and Jean-Baptiste Mouret},
author_short = {Huizinga, J. and Clune, J. and Mouret, J.},
bibtype = {inproceedings},
type = {inproceedings},
year = {2014},
key = {dblp2078140},
id = {dblp2078140},
biburl = {http://www.dblp.org/rec/bibtex/conf/gecco/HuizingaCM14},
url = {http://doi.acm.org/10.1145/2576768.2598232},
conference = {GECCO},
pages = {697-704},
text = {GECCO 2014:697-704},
booktitle = {Proceedings of Genetic and Evolutionary Computation Conference (GECCO)}
}
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