Estimation single output with a hybrid of ANFIS and MOPSO_HS

Aref Yelghi

doi:10.35377/saucis...1414742

EN

Estimation single output with a hybrid of ANFIS and MOPSO_HS

Abstract

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.

Keywords

References

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Details

Primary Language

English

Subjects

Computer Software , Software Engineering (Other)

Journal Section

Research Article

Authors

Aref Yelghi ^*
0000-0003-2380-8718
Türkiye

Early Pub Date

April 29, 2024

Publication Date

April 30, 2024

Submission Date

January 4, 2024

Acceptance Date

April 29, 2024

Published in Issue

Year 2024 Volume: 7 Number: 1

DOI

https://doi.org/10.35377/saucis...1414742

IZ

https://izlik.org/JA78RJ67BF

Cite

RIS / Bibtex

APA

Yelghi, A. (2024). Estimation single output with a hybrid of ANFIS and MOPSO_HS. Sakarya University Journal of Computer and Information Sciences, 7(1), 112-126. https://doi.org/10.35377/saucis...1414742

AMA

1.Yelghi A. Estimation single output with a hybrid of ANFIS and MOPSO_HS. SAUCIS. 2024;7(1):112-126. doi:10.35377/saucis.1414742

Chicago

Yelghi, Aref. 2024. “Estimation Single Output With a Hybrid of ANFIS and MOPSO_HS”. Sakarya University Journal of Computer and Information Sciences 7 (1): 112-26. https://doi.org/10.35377/saucis. 1414742.

EndNote

Yelghi A (April 1, 2024) Estimation single output with a hybrid of ANFIS and MOPSO_HS. Sakarya University Journal of Computer and Information Sciences 7 1 112–126.

IEEE

[1]A. Yelghi, “Estimation single output with a hybrid of ANFIS and MOPSO_HS”, SAUCIS, vol. 7, no. 1, pp. 112–126, Apr. 2024, doi: 10.35377/saucis...1414742.

ISNAD

Yelghi, Aref. “Estimation Single Output With a Hybrid of ANFIS and MOPSO_HS”. Sakarya University Journal of Computer and Information Sciences 7/1 (April 1, 2024): 112-126. https://doi.org/10.35377/saucis. 1414742.

JAMA

1.Yelghi A. Estimation single output with a hybrid of ANFIS and MOPSO_HS. SAUCIS. 2024;7:112–126.

MLA

Yelghi, Aref. “Estimation Single Output With a Hybrid of ANFIS and MOPSO_HS”. Sakarya University Journal of Computer and Information Sciences, vol. 7, no. 1, Apr. 2024, pp. 112-26, doi:10.35377/saucis. 1414742.

Vancouver

1.Aref Yelghi. Estimation single output with a hybrid of ANFIS and MOPSO_HS. SAUCIS. 2024 Apr. 1;7(1):112-26. doi:10.35377/saucis. 1414742

Estimation single output with a hybrid of ANFIS and MOPSO_HS

Abstract

Keywords

Öz

References

Details

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Subjects

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Authors

Early Pub Date

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Published in Issue

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