Binary Social Impact Theory based Optimization and Its Applications in Pattern Recognition

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F14%3A00213845" target="_blank" >RIV/68407700:21230/14:00213845 - isvavai.cz</a>
Result on the web
<a href="http://www.sciencedirect.com/science/article/pii/S092523121301103X#" target="_blank" >http://www.sciencedirect.com/science/article/pii/S092523121301103X#</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.neucom.2013.03.063" target="_blank" >10.1016/j.neucom.2013.03.063</a>

Result language
angličtina
Original language name
Binary Social Impact Theory based Optimization and Its Applications in Pattern Recognition
Original language description
The human opinion formation can be understood as a social approach to optimization. In the real world, the opinions on different issues encode a ?candidate solution?, which is evaluated by a complex and unknown fitness function. The computer models of such processes can be easily modified by introducing a fitness value, which leads to novel family of optimization techniques. This paper demonstrates how the novel algorithms can be derived from opinion formation models and empirically demonstrates their usability in the area of binary optimization. Particularly, it introduces a general SITO algorithmic framework and describes four algorithms based on this general framework. Recent applications of these algorithms to pattern recognition in electronic nose, electronic tongue, new born EEG and ICU patient mortality prediction are discussed. Finally, an open source SITO library for MATLAB and JAVA is introduced.
Czech name
—
Czech description
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Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
JC - Computer hardware and software
OECD FORD branch
—

Project
<a href="/en/project/GP13-21696P" target="_blank" >GP13-21696P: Feature selection for temporal context aware models of multivariate time series</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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