Aerodynamic parameter estimation using aeroballistic data

Mahmutyazıcıoğlu, Gökmen


Parameter estimation in generalized partial linear models with Tikhanov regularization
Kayhan, Belgin; Karasözen, Bülent; Department of Scientific Computing (2010)
Regression analysis refers to techniques for modeling and analyzing several variables in statistical learning. There are various types of regression models. In our study, we analyzed Generalized Partial Linear Models (GPLMs), which decomposes input variables into two sets, and additively combines classical linear models with nonlinear model part. By separating linear models from nonlinear ones, an inverse problem method Tikhonov regularization was applied for the nonlinear submodels separately, within the e...
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Neural networks with piecewise constant argument and impact activation
Yılmaz, Enes; Akhmet, Marat; Department of Scientific Computing (2011)
This dissertation addresses the new models in mathematical neuroscience: artificial neural networks, which have many similarities with the structure of human brain and the functions of cells by electronic circuits. The networks have been investigated due to their extensive applications in classification of patterns, associative memories, image processing, artificial intelligence, signal processing and optimization problems. These applications depend crucially on the dynamical behaviors of the networks. In t...
A recommended neural trip distributon model
Tapkın, Serkan; Akyılmaz, M. Özdemir; Department of Civil Engineering (2004)
In this dissertation, it is aimed to develop an approach for the trip distribution element which is one of the important phases of four-step travel demand modelling. The trip distribution problem using back-propagation artificial neural networks has been researched in a limited number of studies and, in a critically evaluated study it has been concluded that the artificial neural networks underperform when compared to the traditional models. The underperformance of back-propagation artificial neural network...
Temporal and spatial forecasting of the foF2 values up to twenty four hours in advance
Tulunay, E; Ozkaptan, C; Tulunay, Yurdanur (2000-01-01)
Radio waves of a wide range of frequencies from very low frequency (VLF) to high frequency (HF), (broadly 3 to 30 MHz) can be propagated to great distances via the ionosphere.
Citation Formats
G. Mahmutyazıcıoğlu, “Aerodynamic parameter estimation using aeroballistic data,” Ph.D. - Doctoral Program, Middle East Technical University, 2000.