Improving Weather Forecasting Using De-Noising with Maximal Overlap Discrete Wavelet Transform and GA Based Neuro-Fuzzy Controller

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dc.authoridDosdogru, Ayse Tugba/0000-0002-1548-5237
dc.contributor.authorDosdogru, Ayse Tugba
dc.date.accessioned2025-01-06T17:36:06Z
dc.date.available2025-01-06T17:36:06Z
dc.date.issued2019
dc.description.abstractAdaptive Neuro-Fuzzy Inference Systems (ANFIS) is one of the most important neuro-fuzzy systems. ANFIS can be successfully applied to different real-world problems. However, it is difficult to create the ANFIS structure whose parameters directly influence the solutions. Therefore, hybrid ANFIS methods are generally used to increase efficiency and adaptability. This paper used an integrated neuro-fuzzy controller that is also known as PATSOS. The main purpose of this study is to improve the performance of the PATSOS method for weather forecasting. Our proposed PATSOS method is different from the previous ones since it embeds Genetic Algorithm (GA) into the PATSOS and also de-noising with Maximal Overlap Discrete Wavelet Transform (MODWT) is used to improve the data quality. GA is employed to optimize the moving average type, moving average degree, and de-noising degree. Furthermore, epoch number, membership function type, and membership function number for the PATSOS are optimized by GA. The results obtained by the hybrid PATSOS method are presented and compared with different cities and different models. It is concluded that proposed hybrid method forecasts daily mean temperature accurately. Proposed GA based PATSOS method can also provide remarkable advantages for determining parameter values in other complex, dynamic and non-linear forecasting problems.
dc.identifier.doi10.1142/S021821301950012X
dc.identifier.issn0218-2130
dc.identifier.issn1793-6349
dc.identifier.issue3
dc.identifier.scopus2-s2.0-85066612019
dc.identifier.scopusqualityQ3
dc.identifier.urihttps://doi.org/10.1142/S021821301950012X
dc.identifier.urihttps://hdl.handle.net/20.500.14669/1755
dc.identifier.volume28
dc.identifier.wosWOS:000469989000004
dc.identifier.wosqualityQ4
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherWorld Scientific Publ Co Pte Ltd
dc.relation.ispartofInternational Journal on Artificial Intelligence Tools
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_20241211
dc.subjectAdaptive neuro-fuzzy inference systems
dc.subjectintegrated neuro-fuzzy controller (PATSOS)
dc.subjectgenetic algorithm
dc.subjectmaximal overlap discrete wavelet transform
dc.titleImproving Weather Forecasting Using De-Noising with Maximal Overlap Discrete Wavelet Transform and GA Based Neuro-Fuzzy Controller
dc.typeArticle

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