An ANFIS Based Vehicle Sales Forecasting Model Utilizing Feature Clustering and Genetic Algorithms
Yükleniyor...
Tarih
2020
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Hezarfen Aeronautics and Space Technologies Institute
Erişim Hakkı
Özet
The automotive sector is one of Turkey’s most important industries, and the developments in technology are affecting the automotive sector as well as the other sectors. The methods that have been used to date indicate that the use of AI should be increased when the demand forecasting applications take into account the developments in the industry. For this purpose, by using the data taken from the Automotive Distributors Association and Turkish Statistical Institute Internet pages, intuitive learning hybrid ANFIS method is used to forecast the sales in this study. A clustering scheme is first applied to group the features, and then the features are fed into genetic algorithms to improve the prediction model performance. The experiments show that the prediction performance of the proposed method is good when compared to existing related studies in the literature.
Açıklama
Anahtar Kelimeler
Adaptive Neuro Fuzzy Inference System (ANFIS), Feature Clustering, Genetic Algorithms, Vehicle Sales Prediction
Kaynak
WoS Q Değeri
Scopus Q Değeri
Cilt
Sayı
Künye
Journal Of Aeronautıcs And Space Technologıes, V13, S1, 2020
