LEADER 01860nam 2200505 450 001 9910707373903321 005 20160713130039.0 035 $a(CKB)5470000002463777 035 $a(OCoLC)953529378 035 $a(EXLCZ)995470000002463777 100 $a20160713j199607 ua 0 101 0 $aeng 135 $aurbn||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 12$aA comparison of neural networks and fuzzy logic methods for process modeling /$fKrzysztof J. Cios and Dorel M. Sala, Laszlo Berke 210 1$aCleveland, Ohio :$cNational Aeronautics and Space Administration, Lewis Research Center,$dJuly 1996. 215 $a1 online resource (26 pages) $cillustrations 225 1 $aNASA technical memorandum ;$v107236 300 $aTitle from title screen (viewed July 13, 2016). 300 $a"July 1996." 300 $a"Performing organization: National Aeronautics and Space Administration, Lewis Research Center"--Report documentation page. 320 $aIncludes bibliographical references (pages 16-17). 606 $aNeural nets$2nasat 606 $aFuzzy systems$2nasat 606 $aGenetic algorithms$2nasat 606 $aProbability theory$2nasat 606 $aSet theory$2nasat 615 7$aNeural nets. 615 7$aFuzzy systems. 615 7$aGenetic algorithms. 615 7$aProbability theory. 615 7$aSet theory. 700 $aCios$b Krzysztof J.$01407143 702 $aSala$b Dorel M. 702 $aBerke$b Laszlo 712 02$aLewis Research Center, 712 02$aUnited States.$bNational Aeronautics and Space Administration, 801 0$bGPO 801 1$bGPO 906 $aBOOK 912 $a9910707373903321 996 $aA comparison of neural networks and fuzzy logic methods for process modeling$93487766 997 $aUNINA