Estimation single output with a hybrid of ANFIS and MOPSO_HS
In the field of soft computing, the Adaptive Neuro-Fuzzy Inference System (ANFIS) has been more well-liked in recent years for its predictive capabilities. Appropriate ANFIS parameter adjusting is critical, which creates a gap in its predictive integration with traditional optimization techniques. A...
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Sakarya University
2024-04-01
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| Series: | Sakarya University Journal of Computer and Information Sciences |
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| Online Access: | https://dergipark.org.tr/en/download/article-file/3639675 |
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| author | Aref Yelghi |
| author_facet | Aref Yelghi |
| author_sort | Aref Yelghi |
| collection | DOAJ |
| description | In the field of soft computing, the Adaptive Neuro-Fuzzy Inference System (ANFIS) has been more well-liked in recent years for its predictive capabilities. Appropriate ANFIS parameter adjusting is critical, which creates a gap in its predictive integration with traditional optimization techniques. Although some academics have concentrated on incorporating single-objective optimization, they frequently encounter issues with reliability and stability when striving to solve problems. In this work, an innovative multi-objective optimization technique that integrates ANFIS with MOPSO_HS is introduced. The model has consistency in problem solving and shows accurate predictions for both odd and even interval input models. In addition, three actual datasets are used to demonstrate the effectiveness of the suggested model's integration. A comparison is made between the suggested integrated model and established algorithms after 20 runs of analysis. The algorithm's accuracy, stability, and dependability in resolving integration problems are demonstrated by the results, which also show how superior it is to alternative approaches. |
| format | Article |
| id | doaj-art-cef535ff96e94c788f4e1b36a4f0b82f |
| institution | OA Journals |
| issn | 2636-8129 |
| language | English |
| publishDate | 2024-04-01 |
| publisher | Sakarya University |
| record_format | Article |
| series | Sakarya University Journal of Computer and Information Sciences |
| spelling | doaj-art-cef535ff96e94c788f4e1b36a4f0b82f2025-08-20T02:27:54ZengSakarya UniversitySakarya University Journal of Computer and Information Sciences2636-81292024-04-017111212610.35377/saucis...141474228Estimation single output with a hybrid of ANFIS and MOPSO_HSAref Yelghi0https://orcid.org/0000-0003-2380-8718İSTANBUL AYVANSARAY ÜNİVERSİTESİIn the field of soft computing, the Adaptive Neuro-Fuzzy Inference System (ANFIS) has been more well-liked in recent years for its predictive capabilities. Appropriate ANFIS parameter adjusting is critical, which creates a gap in its predictive integration with traditional optimization techniques. Although some academics have concentrated on incorporating single-objective optimization, they frequently encounter issues with reliability and stability when striving to solve problems. In this work, an innovative multi-objective optimization technique that integrates ANFIS with MOPSO_HS is introduced. The model has consistency in problem solving and shows accurate predictions for both odd and even interval input models. In addition, three actual datasets are used to demonstrate the effectiveness of the suggested model's integration. A comparison is made between the suggested integrated model and established algorithms after 20 runs of analysis. The algorithm's accuracy, stability, and dependability in resolving integration problems are demonstrated by the results, which also show how superior it is to alternative approaches.https://dergipark.org.tr/en/download/article-file/3639675metaheuristicmulti-objective optimizationanfisexchange rateneuro fuzzyrmse |
| spellingShingle | Aref Yelghi Estimation single output with a hybrid of ANFIS and MOPSO_HS Sakarya University Journal of Computer and Information Sciences metaheuristic multi-objective optimization anfis exchange rate neuro fuzzy rmse |
| title | Estimation single output with a hybrid of ANFIS and MOPSO_HS |
| title_full | Estimation single output with a hybrid of ANFIS and MOPSO_HS |
| title_fullStr | Estimation single output with a hybrid of ANFIS and MOPSO_HS |
| title_full_unstemmed | Estimation single output with a hybrid of ANFIS and MOPSO_HS |
| title_short | Estimation single output with a hybrid of ANFIS and MOPSO_HS |
| title_sort | estimation single output with a hybrid of anfis and mopso hs |
| topic | metaheuristic multi-objective optimization anfis exchange rate neuro fuzzy rmse |
| url | https://dergipark.org.tr/en/download/article-file/3639675 |
| work_keys_str_mv | AT arefyelghi estimationsingleoutputwithahybridofanfisandmopsohs |