Estimation single output with a hybrid of ANFIS and MOPSO_HS

Aref Yelghı

Adaptive Neuro-Fuzzy Inference System (ANFIS) has gained popularity in recent years due to its predictive capabilities. Proper adjustment of ANFIS parameters is an optimization problem but integrating it with traditional optimization techniques has led to challenges such as local minima and slow convergence, resulting in obstacles to its prediction. Additionally, some researchers focusing on incorporating single-objective optimization often face issues with reliability and stability in parameter adjustment. This study, focused on multi-objective optimization, presents an algorithm that integra ...Daha fazlası

Makale 2024 Sakarya Universit7 ( 1 ) , pp. 1 - 126 14 Görüntülenme

Erişime Açık

Features of Metaheuristic Algorithm for Integration with ANFIS Model

Aref Yelghı

In recent years, many applications based on the Neural Network, Neuro-Fuzzy, and optimization algorithms have been more common for solving regression and classification problems. In the Adaptive Neuro-fuzzy inference system(ANFIS), many researchers used the adaption of metaheuristic algorithms with ANFIS to propose the best estimation model. However, many researchers only focused on the experiment without the demonstration mathematical or indicating which characteristic of optimization algorithm, during the run, affect and settable in coordination with ANFIS. The paper provides an adaption of ...Daha fazlası

Makale 2022 2022 Internaiıonal Conference On Theoreiıcal And Applıed Computer Science And Engineering (Ictasce) , pp. 2 - 31 101 Görüntülenme