Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
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
Pattern recognition using Kohonen's self organizing feature map
Download
012819.pdf
Date
1991
Author
Baykal, Nazife
Metadata
Show full item record
Item Usage Stats
80
views
0
downloads
Cite This
URI
https://hdl.handle.net/11511/8405
Collections
Graduate School of Natural and Applied Sciences, Thesis
Suggestions
OpenMETU
Core
Pattern recognition in bistable networks
VLADIMIR, CHINAROV; Halıcı, Uğur; Leblebicioğlu, Mehmet Kemal (1999-04-08)
Present study concerns the problem of learning, pattern recognition and computational abilities of a homogeneous network composed from coupled bistable units. An efficient learning algorithm is developed. New possibilities for pattern recognition may be realized due to the developed technique that permits a reconstruction of a dynamical system using the distributions of its attractors. In both cases the updating procedure for the coupling matrix uses the minimization of least-mean-square errors between the ...
Pattern recognition of plane surfaces using a computer controlled electro-optical system.
Çiftçilikli, Cebrail; Department of Electrical Engineering (1986)
Face detection using learning networks.
Tek, Faik Boray; Alatan, Aydın; Bozdağ Akar, Gözde; Department of Electrical and Electronics Engineering (2002)
Pattern search in pathogenic bacterial proteins for localization and secretory systems
Özcan, Orhan; Özcengiz, Gülay; Can, Tolga; Department of Biotechnology (2015)
Computational prediction of bacterial protein localization (BPL) is a very useful tool which provides clues about protein function. For pathogenic proteins in particular, detection of their subcellular location and their secretory pathways have great implications for vaccine and drug design. Cell surface and/or secreted proteins of microbes can also be used as biomarkers for sensor applications. At present, there are numerous BPL prediction algorithms and programs available, however, most of them give false...
Pattern formation in time series systems due to viscoelastic behavior: Case studies in uniform distribution, normal distribution, stock market index, and music
Gündüz, Güngör (World Scientific Pub Co Pte Lt, 2018-09-01)
A new methodology was introduced to investigate the pattern formation in time series systems due to their viscoelastic behavior. Four stochastic processes, uniform distribution, normal distribution, Nasdaq-100 stock market index, and a melody were studied within this context. The time series data were converted into vectorial forms in a scattering diagram. The sequential vectors can be split into its in-line (or conservative) and out-of-line (or dissipative) components. Thus, one can define the storage and ...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
N. Baykal, “Pattern recognition using Kohonen’s self organizing feature map,” Middle East Technical University, 1991.