![Genetic algorithms / Machine learning / Applied mathematics / Artificial intelligence / Neuroevolution / HyperNEAT / Computational neuroscience / Compositional pattern-producing network / Neural networks / Evolutionary algorithms / Evolutionary computation Genetic algorithms / Machine learning / Applied mathematics / Artificial intelligence / Neuroevolution / HyperNEAT / Computational neuroscience / Compositional pattern-producing network / Neural networks / Evolutionary algorithms / Evolutionary computation](https://www.pdfsearch.io/img/f4154eee41ddeeb82c833312e57e1b82.jpg)
| Document Date: 2013-02-07 15:35:35 Open Document File Size: 214,84 KBShare Result on Facebook
City Hypercube / New York / Cambridge / / Company Evolving Neural Networks / Compositional Pattern Producing Networks / IEEE Press / ACM Press / Neural Networks / Genetic Neural Networks / MIT Press / Target / Boolean Neural Networks / / Country United States / / / Facility Lyman Briggs College Michigan State University / / IndustryTerm function networks / directed graph network / evolutionary algorithms / / Organization Department of Philosophy / Michigan State University / ofria1 / and Robert T. Pennock1 / 2 Department of Computer Science and Engineering / MIT / / ProvinceOrState New York / / PublishedMedium IEEE Transactions on Evolutionary Computation / / Technology Proteomics / NEAT algorithm / genotype / neural network / /
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