Kernel semi-parametric model improvement based on quasi-oppositional learning pelican optimization algorithm
Statistical modeling is essential in many scientific research areas because it explains the relationship between the response variable of interest and a number of explanatory variables. However, it is not easy to determine the optimal model beforehand. Therefore, in this paper, we look at how to ch...
Main Authors: | Zakariya Algamal, Firas AL-Taie, Omar Qasim |
---|---|
Format: | Article |
Language: | English |
Published: |
College of Education, Al-Iraqia University
2023-04-01
|
Series: | Iraqi Journal for Computer Science and Mathematics |
Subjects: | |
Online Access: | https://journal.esj.edu.iq/index.php/IJCM/article/view/404 |
Similar Items
-
A unified and comprehensible view of parametric and kernel methods for genomic prediction with application to rice
by: Laval Jacquin, et al.
Published: (2016-08-01) -
ANALISIS PERBANDINGAN UTILITAS DAN PERILAKU PEMANFAATAN PELICAN CROSSING DI AREA UNIVERSITAS BRAWIJAYA
by: Ratih Ardia Sari, et al.
Published: (2016-12-01) -
Photovoltaic Array Dynamic Reconfiguration Based on an Improved Pelican Optimization Algorithm
by: Sheng Li, et al.
Published: (2023-08-01) -
Sightings of the Great White Pelican Pelecanus onocrotalus (Linn. 1758) (Aves: Pelicaniformes: Pelicanidae) in Pallikaranai Marshlands, Tamil Nadu, India
by: Kannan Thirunaranan, et al.
Published: (2017-09-01) -
A New Pelican Optimization Algorithm for the Parameter Identification of Memristive Chaotic System
by: Qi Xiong, et al.
Published: (2023-06-01)