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
A new Higher-Order Binary-Input Neural Unit: Learning and generalizing effectively via using minimal number of monomials
Download
035772.pdf
Date
1994
Author
Şahin, Erol
Metadata
Show full item record
Item Usage Stats
88
views
0
downloads
Cite This
URI
https://hdl.handle.net/11511/11652
Collections
Graduate School of Natural and Applied Sciences, Thesis
Suggestions
OpenMETU
Core
A new scalable service discipline for real-time traffic: The framed-deadline scheduler
Schmidt, Şenan Ece (Elsevier BV, 2007-03-26)
Qulaity of Service (Qos) support in a scalable and low-complexity fashion is important in high-speed networks carrying real-time traffic. There are service disciplines that can provide end-to-end bandwidth and delay guarantees. However, they are designed to operate with expensive output quenching switches or with combined input-output queuing (CIOQ) switches that require very complicated fabric work with a CIOQ packet switch to provide the same end-to-end QoS guarantees as service disciplines that only work...
A new method for design parameter optimization of products or processes with an ordinal categorical response
Erdoğan, Pınar; Köksal, Gülser; Dolgun, Leman Esra; Department of Industrial Engineering (2022-8)
It is an important design problem to obtain the best parameter values that are insensitive to the variability of input, process or environmental factors of a product or process. Therefore, many industrial organizations use robust parameter design (RPD). While there are many methods in the literature for design parameter optimization with continuous quality characteristics, fewer studies are found for ordered categorical quality characteristics. This study proposes a new method for finding robust levels of d...
A New Outranking-Based Approach for Assigning Alternatives to Ordered Classes
Köksalan, Mustafa Murat; Mousseau, Vincent; Ozpeynirci, Oezguer; Ozpeynirci, Selin Bilgin (Wiley, 2009-02-01)
We consider the problem of assigning alternatives evaluated on several criteria into ordered categories C(1), C(2), ..., C(p). This problem is known as the multi-criteria sorting problem and arises in many situations such as classifying countries into different risk levels based on economical and socio-political criteria, evaluating credit applications of bank customers. We are interested in sorting methods that are grounded on the construction Of Outranking relations. Among these, the Electre Tri method re...
A New set of texture similarity measures
Çarkacıoğlu, Abdurrahman; Yarman Vural, Fatoş; Department of Computer Engineering (1997)
A new design of privilege management infrastructure with binding signature semantics
Bıçakçı, Kemal; Baykal, Nazife (2004-01-01)
Just like PKI, used to support public key certificates, Privilege Management Infrastructure (PMI) is built to provide a foundation to employ attribute certificates. Although most of the PKI ideas can be applied to PMI as well, PMI has some unique characteristics for instance it should handle attributes containing confidential information. Motivating by this fact, Dawson et al. recently proposed a new PMI design for those who would like to use the outsourced PKI but keep the PMI management inside the organiz...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
E. Şahin, “A new Higher-Order Binary-Input Neural Unit: Learning and generalizing effectively via using minimal number of monomials,” Middle East Technical University, 1994.