Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
Aerodynamic parameter estimation using aeroballistic data
Download
093288.pdf
Date
2000
Author
Mahmutyazıcıoğlu, Gökmen
Metadata
Show full item record
Item Usage Stats
55
views
0
downloads
Cite This
Subject Keywords
Parameter estimation.
,
Neural networks (Computer Science).
,
Ballistic missiles.
URI
https://hdl.handle.net/11511/3166
Collections
Graduate School of Natural and Applied Sciences, Thesis
Suggestions
OpenMETU
Core
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...
Surface properties of chromite and concentration of chromite gravity tailings.
Atalay, M. Ümit; Özbayoğlu, Gülhan; Department of Mining Engineering (1986)
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.
Neural network prediction of tsunami parameters in the aegean and Marmara Seas
Erdurmaz, Muammer Sercan; Ergin, Ayşin; Department of Civil Engineering (2004)
Tsunamis are characterized as shallow water waves, with long periods and wavelengths. They occur by a sudden water volume displacement. Earthquake is one of the main reasons of a tsunami development. Historical data for an observation period of 3500 years starting from 1500 B.C. indicates that approximately 100 tsunamis occurred in the seas neighboring Turkey. Historical earthquake and tsunami data were collected and used to develop two artificial neural network models to forecast tsunami characteristics fo...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
G. Mahmutyazıcıoğlu, “Aerodynamic parameter estimation using aeroballistic data,” Ph.D. - Doctoral Program, Middle East Technical University, 2000.