استعمال انحدار الإسقاطات المتلاحقة و الشبكات العصبية في تجاوز مشكلة البعدية
Other Title(s)
Use projection pursuit regression and neural network to overcome curse of dimensionality
Joint Authors
عمر عبد المحسن علي
زينة إبراهيم حسن
Source
مجلة العلوم الاقتصادية و الإدارية
Issue
Vol. 24, Issue 104 (30 Jun. 2018), pp.344-353, 10 p.
Publisher
University of Baghdad College of Administration and Economics
Publication Date
2018-06-30
Country of Publication
Iraq
No. of Pages
10
Main Subjects
Topics
Abstract EN
This research aim to overcome the problem of dimensionality by using the methods of non-linear regression, which reduces the root of the average square error (RMSE), and is called the method of projection pursuit regression (PPR), which is one of the methods for reducing dimensions that work to overcome the problem of dimensionality (curse of dimensionality), The (PPR) method is a statistical technique that deals with finding the most important projections in multi-dimensional data , and With each finding projection , the data is reduced by linear compounds overall the projection.
The process repeated to produce good projections until the best projections are obtained.
The main idea of the PPR is to model the multiple regression as a sum of the nonlinear functions of the linear structures of the variables.
Two approaches were used to solve the problem curse of dimensionality : the first approach is proposed projection pursuit regression method (PPR) and The second approach is the method of neural networks (NN) representing by (Back Propagation of error) which is one of the methods used in reducing dimensions .
A simulated study was conducted to compare the methods used.
The simulations were based on findings that showed that the method (NN) in this study gave better results than the (PPR) based on RMSE.
American Psychological Association (APA)
عمر عبد المحسن علي وزينة إبراهيم حسن. 2018. استعمال انحدار الإسقاطات المتلاحقة و الشبكات العصبية في تجاوز مشكلة البعدية. مجلة العلوم الاقتصادية و الإدارية،مج. 24، ع. 104، ص ص. 344-353.
https://search.emarefa.net/detail/BIM-837512
Modern Language Association (MLA)
عمر عبد المحسن علي وزينة إبراهيم حسن. استعمال انحدار الإسقاطات المتلاحقة و الشبكات العصبية في تجاوز مشكلة البعدية. مجلة العلوم الاقتصادية و الإدارية مج. 24، ع. 104 (2018)، ص ص. 344-353.
https://search.emarefa.net/detail/BIM-837512
American Medical Association (AMA)
عمر عبد المحسن علي وزينة إبراهيم حسن. استعمال انحدار الإسقاطات المتلاحقة و الشبكات العصبية في تجاوز مشكلة البعدية. مجلة العلوم الاقتصادية و الإدارية. 2018. مج. 24، ع. 104، ص ص. 344-353.
https://search.emarefa.net/detail/BIM-837512
Data Type
Journal Articles
Language
Arabic
Notes
يتضمن مراجع ببليوجرافية : ص. 352
Record ID
BIM-837512