Coasting Point Optimization for Mass Rail Transit Lines using Artificial Neural Networks and Genetic Algorithms
IET Electric Power Applications, Vol. 2, No. 3, Mart 2008, s. 172-182, ISSN: 1751-8660
AÇIKBAŞ SÜLEYMAN,SÖYLEMEZ MEHMET TURAN
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Investigation of Bending Over Sheave Fatigue Life of Stranded Steel Wire Rope By Artificial Neural Networks
International Journal of Mechanical and Production Engineering, Vol. 4, No. 9, 2016, s. 47-49, ISSN: 2321-2071
ONUR YUSUF AYTAÇ,İMRAK CEVAT ERDEM
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End effector trajectory control in a two link flexible manipulator through reference joint angle values modification by neural networks
JOURNAL OF VIBRATION AND CONTROL, Londra/İNGİLTERE, Vol. 12, No. 2, Şubat 2006, s. 101-117, ISSN: 1077-5463
ÖKE GÜNEL GÜLAY,İSTEFANOPULOS YORGO
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Calibration of logit modal split models with feed forward back propagation neural networks
10th Meeting of the Euro Working Group on Transportation (EWGT2005) - 16th Mini-EURO Conference, POZNAN/POLONYA, 13 Eylül 2005, s. 716-723
ÇELİKOĞLU HİLMİ BERK
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Travel time measure specification by functional approximation Application of radial basis function neural networks
14th Meeting of the Euro Working Group on Transp. - In Quest for Adv. Models, Tools, and Methods for Transp. and Logist., EWGT, 26th Mini-EURO Conf. - Intelligent Decis. Making in Transp. and Logist., MEC, 1st Eur. Sci. Conf. on Air Transp, Poznan/POLONYA, Vol. 20, 6 Eylül 2011, s. 613-620
CELİKOGLU HİLMİ BERK
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Feed forward back propagation neural networks to classify freeway traffic flow state
9th Conference on Traffic and Granular Flow, TGF 2011, Moskova/RUSYA FEDERASYONU, 28 Eylül 2011, s. 475-488
KOZLOV VALERY V., BUSLAEV ALEXANDER P., BUGAEV ALEXANDER S., YASHİNA MARİNA V., SCHADSCHNEİDER ANDREAS, SCHRECKENBERG MİCHAEL, DENİZ ONUR, CELİKOGLU HİLMİ BERK
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Discarding lifetime investigation of a rotation resistant rope subjected to bending over sheave fatigue
MEASUREMENT, Vol. 142, Ocak 2019, s. 163-169, ISSN: 0263-2241
ONUR YUSUF AYTAÇ, İMRAK CEVAT ERDEM, ONUR TUĞBA ÖZGE
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Investigation of Bending Over Sheave Fatiques Life of Stranded Steel Wire rope by Artificial Neural networks
The IRES International Conference, 17 Temmuz 2016, s. 1-3
ONUR YUSUF AYTAÇ,İMRAK CEVAT ERDEM,ONUR TUĞBA ÖZGE
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Adaptive optimal control allocation using Lagrangian neural networks for stability control of a 4WS 4WD electric vehicle
Transactions of the Institute of Measurement and Control, Vol. 35, No. 8, Kasım 2013, s. 1139-1151, ISSN: 0142-3312
DEMİRCİ MURAT,GÖKAŞAN METİN
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Accurate CNN-based pupil segmentation with an ellipse fit error regularization term
Expert Systems with Applications, Vol. 188, Şubat 2022, ISSN: 0957-4174
AKINLAR CÜNEYT, KÜÇÜKKARTAL HATİCE KÜBRA, TOPAL CİHAN
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Learning yacht hull adjectives and their relationship with hull surface geometry using GMDH-type neural networks for human oriented smart design
OCEAN ENGINEERING, Vol. 145, Kasım 2017, s. 215-229, ISSN: 0029-8018
DOĞAN KEMAL MERT,GÜNPINAR ERKAN
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Prediction of wave parameters by using fuzzy inference system and the parametric models along the south coasts of the Black Sea
JOURNAL OF MARINE SCIENCE AND TECHNOLOGY, Vol. 19, No. 1, 2014, s. 1-14, ISSN: 0948-4280
AKPINAR ADEM,ÖZGER MEHMET,KÖMÜRCÜ MURAT İHSAN
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Forest stand parameters from SPOT XS data by use of artificial neural networks
21th Annual Symposium of the European-Association-of-Remote-Sensing-Laboratories (EARSel), 14 Mayıs 2001, s. 185-189
ÖZTOPAL AHMET,COŞKUN HİLAL GONCA
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Determination of the Representative Time Horizons for Short-term Wind Power Prediction by Using Artificial Neural Networks
Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, Vol. 36, No. 16, Haziran 2014, s. 1800-1809, ISSN: 1556-7036
İZGİ ERCAN,ÖZTOPAL AHMET,YERLİ BİHTER,KAYMAK MUSTAFA KEMAL,ŞAHİN AHMET DURAN
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Short mid term solar power prediction by using artificial neural networks
Solar Energy, Vol. 86, No. 2, Şubat 2012, s. 725-733, ISSN: 0038092X
İZGİ ERCAN,ÖZTOPAL AHMET,BİHTER YERLİ,MUSTAFA KEMAL KAYMAK,ŞAHİN AHMET DURAN
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Parameter optimization of interval Type-2 fuzzy neural networks based on PSO and BBBC methods
Institute of Electrical and Electronics Engineers (IEEE), Vol. 6, No. 1, Ocak 2019, s. 247-257, ISSN: 2329-9266
WANG JİA JUN,KUMBASAR TUFAN
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Learning with Type-2 Fuzzy activation functions to improve the performance of Deep Neural Networks
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, Vol. 85, Ekim 2019, s. 372-384, ISSN: 0952-1976
BEKE AYKUT,KUMBASAR TUFAN
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Prediction of HIV-1 protease resistance using genotypic, phenotypic, and molecular information with artificial neural networks
PeerJ, Vol. 11, Mart 2023, ISSN: 2167-8359
TUNÇ HÜSEYİN, DOĞAN BERNA, DARENDELİ KİRAZ BÜSRA NUR, SARI MURAT, DURDAĞI SERDAR, KOTİL ENES SEYFULLAH
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Comparative Research on Deep Learning Approaches for Airplane Detection from VeryHigh-Resolution Satellite Images Artificial Neural Networks and Evolutionary Computation in Remote Sensing
BASEL/İSVİÇRE, 2021, s. 169-196, MDPI
ALGANCI UĞUR,SOYDAŞ MEHMET,SERTEL ELİF
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Predicting Popularity of Open Source Projects Using Recurrent Neural Networks
15th International Conference on Open Source Systems (OSS), Montreal/KANADA, 26 Mayıs 2019, s. 80-90
ŞAHİN SEFA EREN,KARPAT KUBİLAY,TOSUN AYŞE
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