Using data mining and support vector machines to optimize cooling effectiveness in a gas turbine blade leading edge

Using data mining and support vector machines to optimize cooling effectiveness in a gas turbine blade leading edge

This paper discusses a research related with the innovative use of a decision support system based on data mining (to evaluate historical information) and the support vector machine method to determine the optimal values related with the cooling efficiency of a gas turbine blade and to determine th...

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Bibliographic Details
Main Authors: José Omar Dávalos Ramírez, Alberto Ochoa Ortiz-Zezzatti, Juan Carlos García Castrejón, PhD Gustavo Urquiza Beltrán
Format: Article
Language:English
Published: Universidad Autónoma del Estado de Morelos 2014-02-01
Series:Programación Matemática y Software
Subjects:
data mining
support vector machine
pattern recognition
decision support system
Online Access:https://progmat.uaem.mx/progmat/index.php/progmat/article/view/141

Internet

https://progmat.uaem.mx/progmat/index.php/progmat/article/view/141

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