Gray Wolf Optimization and Least Square Estimatation As A New Learning Algorithm For Interval Type-II ANFIS
Gray Wolfe Optimization (GWO) is one of the meta-heuristic method and it is a popular technique in Many engineering and economic applications. GWO and Least Square Estimatation (LSE) are used to optimize the antecedents and consequents parameters of interval type-2 ANFIS respectively. We are checki...
Saved in:
Main Authors: | Blqees K. Faraj, Nazar K. Hussein |
---|---|
Format: | Article |
Language: | English |
Published: |
Tikrit University
2019-03-01
|
Series: | Tikrit Journal of Pure Science |
Subjects: | |
Online Access: | https://tjpsj.org/index.php/tjps/article/view/339 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Gray Wolf Optimizer With Communication Strategy Based on DV-Hop for Nodes Location of Wireless Sensor Networks
by: Dan Yu, et al.
Published: (2025-01-01) -
Sliding Mode Thrust Control Strategy for Electromagnetic Energy-Feeding Shock Absorbers Based on an Improved Gray Wolf Optimizer
by: Wenqiang Zhang, et al.
Published: (2025-07-01) -
Standardization of a High‐Quality Methodological Framework for Long‐Term Genetic Monitoring of the French Wolf Population
by: Agathe Pirog, et al.
Published: (2025-04-01) -
Mathematical models and ANFIS for determination of diffusivity and activation energy of button mushroom thin layer drying
by: Maryam Karimi Motlagh, et al.
Published: (2025-07-01) -
Perbandingan Metode Jaringan Saraf Tiruan, Fuzzy, Dan Anfis Pada Peramalan Data Inflasi Indonesia
by: Dwi Ayu Lusia, et al.
Published: (2025-06-01)