Comparison of neural network application for fuzzy and ANFIS approaches for multi-criteria decision making problems G Özkan, M İnal Applied Soft Computing 24, 232-238, 2014 | 97 | 2014 |
Determination of dielectric properties of insulator materials by means of ANFIS: a comparative study M İnal Journal of Materials Processing Technology 195 (1-3), 34-43, 2008 | 72 | 2008 |
Predicting optimum cure time of rubber compounds by means of ANFIS B Karaağaç, M İnal, V Deniz Materials & Design 35, 833-838, 2012 | 53 | 2012 |
Artificial neural network approach for predicting optimum cure time of rubber compounds B Karaağaç, M İnal, V Deniz Materials & Design 30 (5), 1685-1690, 2009 | 40 | 2009 |
Evaluation of Copper Biosorption onto Date Palm (Phoenix dactylifera L.) Seeds with MLR and ANFIS Models D Bingöl, M İnal, S Çetintaş Industrial & Engineering Chemistry Research, 2013 | 32 | 2013 |
An assessment of total RMR classification system using unified simulation model based on artificial neural networks E Mert, S Yilmaz, M İnal Neural Computing and Applications 20, 603-610, 2011 | 24 | 2011 |
Early detection of mortality in COVID-19 patients through laboratory findings with factor analysis and artificial neural networks NO Do Gan, M Pekdemir Science and Technology (ROMJIST) 25 (3-4), 290-302, 2022 | 20 | 2022 |
Self organizing map and associative memory model hybrid classifier for speaker recognition M Inal, YS Fatihoglu 6th Seminar on Neural Network Applications in Electrical Engineering, 71-74, 2002 | 17 | 2002 |
TÜREV ÜRÜN KULLANIMININ BANKA ETKİNLİĞİ İLE İLİŞKİSİNİN BELİRLENMESİNE YÖNELİK BİR ÇALIŞMA S Fettahoğlu, M İnal, H Yaşar Verimlilik Dergisi, 99-113, 2018 | 14 | 2018 |
Modelling of the tensile properties of calcium carbonate filled polypropylene composite materials with Taguchi and artificial neural networks Y Şahin, S Sahin, M İnal IFAC-PapersOnLine 51 (30), 282-286, 2018 | 8 | 2018 |
Predicting the conversion ratio for the leaching of celestite in sodium carbonate solution using an adaptive neuro-fuzzy inference system M İnal Industrial & Engineering Chemistry Research 53 (12), 4975-4980, 2014 | 8 | 2014 |
EĞİTİMDE YENİDEN YAPILANMA VE KALİTE SÜRECİNDE ELEKTRONİK SEÇMELİ DERSLER M İnal, U Altınışık, S Solak, U Yıldız | 8 | 2012 |
Computer assisted teaching of underground power cables (Powcabgui) for graduate students F Aras, Y Bicen, M Inal WSEAS Transactions on Advances in Engineering Education 3 (8), 760, 2006 | 7 | 2006 |
Optimization of the young’s modulus of low flow polypropylene talc/colemanite hybrid composite materials with artificial neural networks M İnal, S Sahin, Y Sahin IFAC-PapersOnLine 51 (30), 277-281, 2018 | 5 | 2018 |
Modelling of the flexural strength of low flow polypropylene talc/colemanite hybrid composite materials with Taguchi and ANFIS methods A Bodur, S Sahin, Y Sahin, M Inal IFAC-PapersOnLine 51 (30), 271-276, 2018 | 4 | 2018 |
Trafik Güvenliği Dersi için E-Öğrenme İçeriği Geliştirme ve Sunma Deneyimi ÖGS Solak, OU Yıldız, ÖGE Sungur, N Kılıç, U Altınışık, E Mert, M İnal Eğitim ve Öğretim Araştırmaları Dergisi 3 (2), 269-275, 2013 | 4 | 2013 |
Otomobil içindeki cihazların sesle kontrolüne yönelik konuşma tanıma sisteminin gerçek zamanlı laboratuar uygulaması E Kelebekler, M İnal Politeknik Dergisi 11 (2), 109-114, 2008 | 4 | 2008 |
YALITKAN MALZEMELERİN DİELEKTRİK ÖZELLİKLERİNİN YAPAY SİNİR AĞLARIYLA BELİRLENMESİ M İnal, F Aras Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi 20 (4), 2005 | 4 | 2005 |
DOĞU MARMARA BÖLGESİNDE ÜNİVERSİTE SANAYİ İŞBİRLİĞİNİ GELİŞTİRMEYE YÖNELİK KATSAYILAR MODELİ M İNAL, F ARAS, M UÇAR, H ŞİMŞEK, KÜTE Fak, ÜSİ Komisyonu | 3 | 2009 |
Yapay sinir ağları tabanlı konuşmacı tanıma M İnal Kocaeli Üniversitesi, Fen Bilimleri Enstitüsü, 2001 | 3 | 2001 |