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Bulunan: 2 Adet 0.001 sn

Yayıncı : Springer Netherlands ✕İlgili Araştırmacılar : Vahdettin Demir ✕

İlgili Araştırmacılar [8]

Ambargo Durumu [1]

Tam Metin [1]

Yayın Türü [1]

Yazar/lar [8]

Atıf Dizini [1]

Konu Başlıkları [4]

Yayıncı [1]

Yayın Tarihi [2]

Yayın Dili [1]

Doç. Dr. Vahdettin DemirKTO KARATAY ÜNİVERSİTESİ/MÜHENDİSLİK VE DOĞA BİLİMLERİ FAKÜLTESİ/İNŞAAT MÜHENDİSLİĞİ BÖLÜMÜ/İNŞAAT MÜHENDİSLİĞİ PR. (TAM BURSLU)/

Erişime Açık

Hybrid Adaptive Neuro-Fuzzy Models for Water Quality Index Estimation

YASEEN, Zaher Mundher | RAMAL, Majeed Mattar | DIOP, Lamine | JAAFAR, Othman | DEMİR, Vahdettin | KİŞİ, Özgür

Soft computing models are known as an efficient tool for modelling temporal and spatial variation of surface water quality variables and particularly in rivers. These model’s performance relies on how effective their simulation processes are accomplished. Fuzzy logic approach is one of the authoritative intelligent model in solving complex problems that deal with uncertainty and vagueness data. River water quality nature is involved with high stochasticity and redundancy due to the its correlation with several hydrological and environmental aspects. Yet, the fuzzy logic theory can give robust ...Daha fazlası

Makale 2018 Springer Netherlands 9 Görüntülenme

Erişime Açık

Modeling of air pollutants using least square support vector regression, multivariate adaptive regression spline, and M5 model tree models

KİŞİ, Özgür | PARMAR, Kulwinder | SONI,Kirti | DEMİR, Vahdettin

This study investigates the applicability of three different soft computing methods, least square support vector regression (LSSVR), multivariate adaptive regression splines (MARS), and M5 Model Tree (M5-Tree), in forecasting SO2 concentration. These models were applied to monthly data obtained from Janakpuri, Nizamuddin, and Shahzadabad, located in Delhi, India. The models were compared with each other using the cross validation method with respect to root mean square error, mean absolute error, and correlation coefficient. According to the comparison, LSSVR provided better accuracy than the ...Daha fazlası

Makale 2017 Springer Netherlands 2 Görüntülenme

Detaylı Arama

Filtreler

İlgili Araştırmacılar [8]

Ambargo Durumu [1]

Tam Metin [1]

Yayın Türü [1]

Yazar/lar [8]

Atıf Dizini [1]

Konu Başlıkları [4]

Yayıncı [1]

Yayın Tarihi [2]

Yayın Dili [1]

Hybrid Adaptive Neuro-Fuzzy Models for Water Quality Index Estimation

YASEEN, Zaher Mundher | RAMAL, Majeed Mattar | DIOP, Lamine | JAAFAR, Othman | DEMİR, Vahdettin | KİŞİ, Özgür

Modeling of air pollutants using least square support vector regression, multivariate adaptive regression spline, and M5 model tree models

KİŞİ, Özgür | PARMAR, Kulwinder | SONI,Kirti | DEMİR, Vahdettin