IMI-BAS BAS
 

BulDML at Institute of Mathematics and Informatics >
ITHEA >
International Journal ITA >
2007 >
Volume 14 Number 3 >

Please use this identifier to cite or link to this item: http://hdl.handle.net/10525/694

Title: Selecting Classifiers Techniques for Outcome Prediction Using Neural Networks Approach
Authors: Shatovskaya, Tatiana
Keywords: Classification Techniques
Neural Network
Composite Classifier
Issue Date: 2007
Publisher: Institute of Information Theories and Applications FOI ITHEA
Abstract: This paper presents an analysis of different techniques that is designed to aid a researcher in determining which of the classification techniques would be most appropriate to choose the ridge, robust and linear regression methods for predicting outcomes for specific quasi-stationary process.
URI: http://hdl.handle.net/10525/694
ISSN: 1313-0463
Appears in Collections:Volume 14 Number 3

Files in This Item:

File Description SizeFormat
ijita14-3-p15.pdf95.14 kBAdobe PDFView/Open

 



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

 

Valid XHTML 1.0!   Creative Commons License