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...
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| Format: | Article |
| Language: | English |
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Tikrit University
2019-03-01
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| Series: | Tikrit Journal of Pure Science |
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| Online Access: | https://tjpsj.org/index.php/tjps/article/view/339 |
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| author | Blqees K. Faraj Nazar K. Hussein |
| author_facet | Blqees K. Faraj Nazar K. Hussein |
| author_sort | Blqees K. Faraj |
| collection | DOAJ |
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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 checking the new learning algorithm by using the interval type-2 ANFIS in prediction of Mackey-Glass time series and the results were very encouraging compared to other algorithms.
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| format | Article |
| id | doaj-art-d4e0989fffae4162aea2df2f6326f962 |
| institution | OA Journals |
| issn | 1813-1662 2415-1726 |
| language | English |
| publishDate | 2019-03-01 |
| publisher | Tikrit University |
| record_format | Article |
| series | Tikrit Journal of Pure Science |
| spelling | doaj-art-d4e0989fffae4162aea2df2f6326f9622025-08-20T02:37:10ZengTikrit UniversityTikrit Journal of Pure Science1813-16622415-17262019-03-0124110.25130/tjps.v24i1.339Gray Wolf Optimization and Least Square Estimatation As A New Learning Algorithm For Interval Type-II ANFISBlqees K. FarajNazar K. Hussein 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 checking the new learning algorithm by using the interval type-2 ANFIS in prediction of Mackey-Glass time series and the results were very encouraging compared to other algorithms. https://tjpsj.org/index.php/tjps/article/view/339of interval type-2ANFISGray Wolfe OptimizationMeckey-Glass time seriesmeta-heuristic |
| spellingShingle | Blqees K. Faraj Nazar K. Hussein Gray Wolf Optimization and Least Square Estimatation As A New Learning Algorithm For Interval Type-II ANFIS Tikrit Journal of Pure Science of interval type-2 ANFIS Gray Wolfe Optimization Meckey-Glass time series meta-heuristic |
| title | Gray Wolf Optimization and Least Square Estimatation As A New Learning Algorithm For Interval Type-II ANFIS |
| title_full | Gray Wolf Optimization and Least Square Estimatation As A New Learning Algorithm For Interval Type-II ANFIS |
| title_fullStr | Gray Wolf Optimization and Least Square Estimatation As A New Learning Algorithm For Interval Type-II ANFIS |
| title_full_unstemmed | Gray Wolf Optimization and Least Square Estimatation As A New Learning Algorithm For Interval Type-II ANFIS |
| title_short | Gray Wolf Optimization and Least Square Estimatation As A New Learning Algorithm For Interval Type-II ANFIS |
| title_sort | gray wolf optimization and least square estimatation as a new learning algorithm for interval type ii anfis |
| topic | of interval type-2 ANFIS Gray Wolfe Optimization Meckey-Glass time series meta-heuristic |
| url | https://tjpsj.org/index.php/tjps/article/view/339 |
| work_keys_str_mv | AT blqeeskfaraj graywolfoptimizationandleastsquareestimatationasanewlearningalgorithmforintervaltypeiianfis AT nazarkhussein graywolfoptimizationandleastsquareestimatationasanewlearningalgorithmforintervaltypeiianfis |