Density variable estimation from microwave sensor data by radial basis function neural network method
13th International IEEE Conference on Intelligent Transportation Systems (ITSC2010) - 4th Workshop on Artificial Transportation Systems and Simulation (ATSS2010), Madeira Island/PORTEKİZ, 19 Eylül 2010
ÇELİKOĞLU HİLMİ BERK
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Extended Kalman Filter Based Modified Elman-Jordan Neural Network for Control and Identification of Nonlinear Systems
Akıllı Sistemlerde Yenilikler ve Uygulamaları Konferansı, ASYU 2020, İstanbul/TÜRKİYE, 15 Ekim 2020
ŞEN GÖKÇEN DEVLET, ÖKE GÜNEL GÜLAY, GÜZELKAYA MÜJDE
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Prediction and evaluation of tropospheric ozone concentration in Istanbul using artificial neural network modeling according to time parameter
Journal of Scientific & Industrial Research, No. 67, Eylül 2008, s. 674-679, ISSN: 0022-4456
DEMİR GÖKSEL, ALTAY GÖKMEN, ŞAKAR CEMAL OKAN, ÖZDEMİR HÜSEYİN, YALÇIN ŞENAY
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An Artificial Neural Network Based Model For Short Term Predictions of Daily Mean PM10 Concentrations
Journal of Environmental Protection and Ecology, Vol. 11, No. 3, Ocak 2010, s. 1163-1171, ISSN: 1311-5065
DEMİR GÖKSEL, ÖZDEMİR HÜSEYİN, ÖZCAN HÜSEYİN KURTULUŞ, UÇAN OSMAN NURİ, BAYAT CUMA
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Prediction of roadheader performance by artificial neural network
Tunnelling and Underground Space Technology, No. 44, Eylül 2014, s. 3-9, ELSEVIER
EMRE AVUNDUK, DENIZ TUMAC, KUBILAY ATALAY
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Prediction of roadheader performance by artificial neural network
Tunnelling and Underground Space Technology, No. 44, Eylül 2014, s. 3-9
EMRE AVUNDUK, DENIZ TUMAC, KUBILAY ATALAY
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Prediction of roadheader performance by artificial neural network
Tunnelling and Underground Space Technology, No. 44, Eylül 2014, s. 3-9
EMRE AVUNDUK, DENIZ TUMAC, KUBILAY ATALAY
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Discussion on ‘‘the estimation of monthly mean significant wave heights by using artificial neural network and regression methods” by Kemal Günaydın [Ocean Engineering 35 (2008) 1406–1415]
OCEAN ENGINEERING, Vol. 36, No. 6-7, Mayıs 2009, s. 535-536, ISSN: 0029-8018
ERDİK TARKAN
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Discussion on “Application of probabilistic neural network to design breakwater armor blocks” by D. Kim, D. Hyawn Kim, Seongkyu Chang [Ocean Engineering 35 (2008) 294–300]
OCEAN ENGINEERING, Vol. 35, No. 11-12, Ağustos 2008, s. 1283, ISSN: 0029-8018
ŞEN ZEKAİ,ERDİK TARKAN,KARSAVRAN YAVUZ
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Self-tuning PID control of a brushless DC motor by adaptive interaction
IEEJ Transactions on Electrical and Electronic Engineering, Vol. 9, No. 4, Temmuz 2014, s. 384-390, ISSN: 19314973
GÜNDOĞDU TAYFUN,KÖMÜRGÖZ KIRIŞ GÜVEN
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Adaptive PID controller design by using adaptive interaction approach theory
2013 3rd International Conference on Electric Power and Energy Conversion Systems, İstanbul/TÜRKİYE, 2 Ekim 2013
GÜNDOĞDU TAYFUN,KÖMÜRGÖZ KIRIŞ GÜVEN
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Modelling A Single-Rotor Wankel Engine Performance With Artificial Neural Network At Middle Speed Range
International Journal of Automotive Science and Technology, Vol. 4, No. 3, Eylül 2020, s. 155-163, ISSN: 2587-0963
ÖZMEN MEHMET İLTER, CİHAN ÖMER, KUTLAR OSMAN AKIN, ÖZSOYSAL OSMAN AZMİ, BAYKARA CEMAL
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Prediction of roadheader performance by artificial neural network
Tunnelling and Underground Space Technology, No. 44, Eylül 2014, s. 3-9, ELSEVIER
EMRE AVUNDUK, DENIZ TUMAC, KUBILAY ATALAY
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Comparison of the Empirical and Artificial Neural Network Models to Estimate Performance of Roadheaders
rd International Symposium on Underground Excavations for Transportation - UYAK, 29 Kasım 2013
TUMAÇ DENİZ,AVUNDUK EMRE
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Prediction of rainfall runoff‐induced sediment load from bare land surfaces by generalized regression neural network and empirical model
WATER AND ENVIRONMENT JOURNAL, Vol. 34, No. 1, Şubat 2020, s. 66-76, ISSN: 1747-6585
TAYFUR GÖKMEN, AKSOY HAFZÜLLAH, ERİŞ DUMAN EBRU
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Artificial neural network models for forecasting intermittent monthly precipitation in arid regions
Meteorological Applications, Vol. 16, No. 3, Eylül 2009, s. 325-337, ISSN: 13504827
DAHAMSHEH AHMAD,AKSOY HAFZÜLLAH
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REPLY to Discussion of An explicit neural network formulation for evapotranspiration
Hydrological Sciences Journal, Vol. 54, No. 2, Nisan 2009, s. 389-393, ISSN: 0262-6667
AYTEK ALI,GÜVEN AYTAÇ,YÜCE MEHMET İSHAK,AKSOY HAFZÜLLAH
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Markov Chain Incorporated Artificial Neural Network Models for Forecasting Monthly Precipitation in Arid Regions
Arabian Journal for Science and Engineering, Vol. 39, No. 4, Nisan 2014, s. 2513-2524, ISSN: 1319-8025
DAHAMSHEH AHMAD,AKSOY HAFZÜLLAH
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Markov chain-incorporated and synthetic data-supported conditional artificial neural network models for forecasting monthly precipitation in arid regions
JOURNAL OF HYDROLOGY, Vol. 562, Temmuz 2018, s. 758-779, ISSN: 0022-1694
AKSOY HAFZÜLLAH,DAHAMSHEH AHMAD
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Prediction of rainfall runoff‐induced sediment load from bare land surfaces by generalized regression neural network and empirical model
Water and Environment Journal, Aralık 2018, ISSN: 1747-6585
TAYFUR GÖKMEN,AKSOY HAFZÜLLAH,ERİŞ DUMAN EBRU
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