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Document Date: 2011-11-02 00:07:26Open Document File Size: 3,52 MBShare Result on FacebookCityEast Lansing / /CompanySony / FT-NEAT / HyperNEAT / Trials / /CountryUnited States / /CurrencyUSD / / /EventProduct Issues / /FacilityUniversity of Central Florida / Michigan State University / Lyman Briggs College / Cornell University / BEACON Center / /IndustryTermregular artificial neural networks / stand-alone algorithms / neuroevolutionary algorithms / end product / neural networks / evolutionary algorithm / genome network / chemical gradients / pattern producing networks / direct encoding neuroevolution algorithm / artificial neural networks / evolutionary algorithms / target neural network / manufacturing processes / compositional pattern producing networks / reinforcement learning algorithms / direct encoding neuroevolution algorithms / control systems / regular solutions / chemicals / /OrganizationDepartment of Mechanical and Aerospace Engineering / Michigan State University / BEACON Center for the Study of Evolution / National Science Foundation / Lyman Briggs College / Cornell University / Department of Computer Science / United States Army / US Federal Reserve / Department of Philosophy / University of Central Florida / Orlando / School of Electrical Engineering and Computer Science / /PersonGauci / Jeff Clune / Robert T. Pennock / Kenneth O. Stanley / /Positionpath forward / PID controller / C. Quadruped Controller / Quadruped Controller / controller / /ProductANNs / joints / joint treatments / joint / difference / joint treatment / less regularity / /ProgrammingLanguageFL / MATLAB / /ProvinceOrStateMichigan / /PublishedMediumIEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION / /RegionCentral Florida / /Technologyevolutionary algorithm / direct encoding neuroevolution algorithm / stand-alone algorithms / reinforcement learning algorithms / NEAT algorithm / neural network / direct encoding neuroevolution algorithms / simulation / genotype / Digital Object Identifier / /URLhttp /SocialTag |