Application of the Classification and Regression Trees for Modeling the Laser Output Power of a Copper Bromide Vapor Laser

Application of the Classification and Regression Trees for Modeling the Laser Output Power of a Copper Bromide Vapor Laser

This study examines the available experiment data for a copper bromide vapor laser (CuBr laser), emitting in the visible spectrum at 2 wavelengths—510.6 and 578.2 nm. Laser output power is estimated based on 10 independent input parameters. The CART method is used to build a binary regression tree o...

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Bibliographic Details
Main Authors: Iliycho Petkov Iliev, Desislava Stoyanova Voynikova, Snezhana Georgieva Gocheva-Ilieva
Format: Article
Language:English
Published: Hindawi Limited 2013-01-01
Series:Mathematical Problems in Engineering
Online Access:http://dx.doi.org/10.1155/2013/654845

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