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Genetic algorithms / Machine learning / Applied mathematics / Artificial intelligence / Neuroevolution / HyperNEAT / Computational neuroscience / Compositional pattern-producing network / Neural networks / Evolutionary algorithms / Evolutionary computation


Document Date: 2011-09-21 21:44:04

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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 / /

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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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