Genetic Programming and CAE Neural Networks approach for Prediction of the Bending Capability of ZnTiCu Sheets

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@Article{Turk:2008:M,

• author = "Radomir Turk and Iztok Perus and Miha Kovacic and Goran Kugler and Milan Tercelj",
• title = "Genetic Programming and CAE Neural Networks approach for Prediction of the Bending Capability of {ZnTiCu} Sheets",
• journal = "Metallurgy",
• journal2 = "Metalurgija (Sisak)",
• year = "2008",
• volume = "47",
• number = "4",
• pages = "301--305",
• keywords = "genetic algorithms, genetic programming, rolling, ZnTiCu alloy, bending, CAE neural networks, Klju~ne rije~i: valjanje, ZnTiCu legure, savijanje, genetsko programiranje, CAE neuralne mre`e",
• ISSN = "0543-5846",
• URL = "http://hrcak.srce.hr/file/41131",
• URL = "http://public.carnet.hr/metalurg/Metalurgija/2008_vol_47/No_4/MET_47_4_301_305_Turk.pdf",
• size = "5 pages",
• abstract = "Genetic programming (GP) and CAE NN analysis have been applied for the prediction of bending capability of rolled ZnTiCu alloy sheet. Investigation revealed that an analysis with CAE NN is faster than GP but less accurate for lower amount of data. Both methods enable good assessment of separate influencing parameters in the complex system.",
• abstract = "Primjena genetskog programiranja u CAE neuronskih mre`a za prognozu izdr`ljivosti kod savijanja ZnTiCu traka. Metode genetskog programiranja (GP) i CAE NN bile su upotrebljene za studij utjecaja izdr`ljivosti savijanja tankih plo~a slitine ZnTiCu. Istra`ivanje je pokazalo da je CAE NN metoda br`a od GP metode a istovremeno je manje precizna pri manjoj bazi podataka. Obje primenjene metode dobro vrednuju utjecaj parcijalnih komponenata kompleksnog sistema.",
• notes = "Faculty of Natural Sciences, Ljubljana, Slovenia. In english. Portal of scientific journals of Croatia http://hrcak.srce.hr/index.php",

}

Genetic Programming entries for Radomir Turk Iztok Perus Miha Kovacic Goran Kugler Milan Tercelj

Citations