Modeling of ionospheric propagation in the HF band using neural networks

Özkaptan, Cem


Erinç, Erdoğan; Tuncer, İsmail Hakkı (null; 2015-09-10)
In this study a neural network based method is developed for the prediction of separation characteristics of external store weapons carried under aircraft wings. The method is based on an artificial neural network trained by high fidelity unsteady flow solutions. The unsteady flow solutions as the store separates from the carriage and the resulting six degrees of freedom motion of the store are computed conditions by a commercial flow solver for various flight conditions. The trajectory of the store and the...
Modeling of activated sludge process by using artificial neural networks
Moral, Hakan; Gökçay, Celal Ferdi; Department of Environmental Engineering (2004)
Current activated sludge models are deterministic in character and are constructed by basing on the fundamental biokinetics. However, calibrating these models are extremely time consuming and laborious. An easy-to-calibrate and user friendly computer model, one of the artificial intelligence techniques, Artificial Neural Networks (ANNs) were used in this study. These models can be used not only directly as a substitute for deterministic models but also can be plugged into the system as error predictors. Thr...
Modeling of dislocation-grain boundary interactions in a strain gradient crystal plasticity framework
ÖZDEMİR, İZZET; Yalçınkaya, Tuncay (Springer Science and Business Media LLC, 2014-08-01)
This paper focuses on the continuum scale modeling of dislocation-grain boundary interactions and enriches a particular strain gradient crystal plasticity formulation (convex counter-part of Yal double dagger inkaya et al., J Mech Phys Solids 59:1-17, 2011; Int J Solids Struct 49:2625-2636, 2012) by incorporating explicitly the effect of grain boundaries on the plastic slip evolution. Within the framework of continuum thermodynamics, a consistent extension of the model is presented and a potential type non-...
Modeling of asymmetric intermodulation distortion and memory effects of power amplifiers
Yüzer, Ahmet Hayrettin; Demir, Şimşek; Department of Electrical and Electronics Engineering (2011)
This dissertation is focused on developing a new passband behavioral model in order to account for asymmetric intermodulation distortion resulted from memory effect. First, a measurement setup is prepared to measure the AM/AM, AM/PM distortion, magnitudes and the phases of intermodulation (IMD) and fundamental (FUND) components which are created by the amplifier where phase is calculated only by measuring magnitudes. Then, responses of a sample amplifier are measured for different excitation situations (cen...
Modeling of seismically excited structures using neural networks.
Demirbaş, Arif Ersin; Aşık, M. Zülfü; Department of Engineering Sciences (1998)
Citation Formats
C. Özkaptan, “Modeling of ionospheric propagation in the HF band using neural networks,” Middle East Technical University, 1999.