İnşaat Mühendisliği Bölümü Tezleri

Permanent URI for this collectionhttps://hdl.handle.net/20.500.12416/3431

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Browsing İnşaat Mühendisliği Bölümü Tezleri by Subject "Concrete"

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    Citation Count: Sinan Kefeli (2019). Evaluating the relationship between concrete strength and mix design properties using artificial neural network (ANN) hybrid algorithms / Beton dayanımı ve karışım tasarımı özelliklerinin yapay sinir ağı hibrit algoritmaları kullanılarak değerlendirilmesi. Yayımlanmış yüksek lisans tezi. Ankara: Çankaya Üniversitesi Fen bilimleri Enstitüsü.
    Evaluating the relationship between concrete strength and mix design properties using artificial neural network (ANN) hybrid algorithms
    (2019) Kefeli, Sinan; Çankaya Üniversitesi, Fen Bilimleri Enstitüsü, İnşaat Mühendisliği Bölümü
    In this thesis, accurate prediction of concrete strength was investigated by using artificial neural network hybrid algorithms. To hybridize and tune ANN models, Particle Swarm Optimization was implemented. Optimization process was conducted step by step up to reaching predictions at a high level of accuracy. Activation functions, numbers of neuron in hidden layers, initial learning rate, solver and learning rate were subjected to optimization.