01732nam 2200493Ia 450 991070031060332120110622164124.0(CKB)5470000002409885(OCoLC)732354557(EXLCZ)99547000000240988520110622d2011 ua 0engurcn|||||||||txtrdacontentcrdamediacrrdacarrierSimulator evaluation of runway incursion prevention technology for general aviation operations[electronic resource] /Denise R. Jones and Lawrence J. Prinzel IIIHampton, Va. :National Aeronautics and Space Administration, Langley Research Center,[2011]1 online resource (iv, 79 pages) color illustrationsNASA/TP ;2011-217045Title from title screen (viewed on June 22, 2011)."January 2011."Includes bibliographical references (page 23).Runway incursionsnasatGeneral aviation aircraftnasatAirportsnasatRunwaysnasatDisplay devicesnasatCockpitsnasatRunway incursions.General aviation aircraft.Airports.Runways.Display devices.Cockpits.Jones Denise R1392868Prinzel Lawrence J1392869Langley Research Center.GPOGPOBOOK9910700310603321Simulator evaluation of runway incursion prevention technology for general aviation operations3448346UNINA02695nam 2200601Ia 450 991043791880332120200520144314.09783642290299364229029910.1007/978-3-642-29029-9(CKB)3390000000030171(SSID)ssj0000746044(PQKBManifestationID)11489085(PQKBTitleCode)TC0000746044(PQKBWorkID)10862915(PQKB)10689108(DE-He213)978-3-642-29029-9(MiAaPQ)EBC3070954(PPN)168313472(EXLCZ)99339000000003017120120803d2013 uy 0engurnn|008mamaatxtccrMinimum error entropy classification /Joaquim P. Marques de Sa ... [et al.]1st ed. 2013.Berlin ;New York Springerc20131 online resource (XVIII, 262 p.) Studies in computational intelligence,1860-949X ;420Bibliographic Level Mode of Issuance: Monograph9783642437427 3642437427 9783642290282 3642290280 Includes bibliographical references and index.Introduction -- Continuous Risk Functionals -- MEE with Continuous Errors -- MEE with Discrete Errors -- EE-Inspired Risks -- Applications.This book explains the minimum error entropy (MEE) concept applied to data classification machines. Theoretical results on the inner workings of the MEE concept, in its application to solving a variety of classification problems, are presented in the wider realm of risk functionals. Researchers and practitioners also find in the book a detailed presentation of practical data classifiers using MEE. These include multi‐layer perceptrons, recurrent neural networks, complexvalued neural networks, modular neural networks, and decision trees. A clustering algorithm using a MEE‐like concept is also presented. Examples, tests, evaluation experiments and comparison with similar machines using classic approaches, complement the descriptions.Studies in computational intelligence ;v. 420.Machine learningComputational learning theoryMachine learning.Computational learning theory.006.3/1Sa J. P. Marques de1946-312072MiAaPQMiAaPQMiAaPQBOOK9910437918803321Minimum error entropy classification4192824UNINA