Application of Neural Networks Optimized by Genetic Algorithms to Higgs Bosson Search.
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F02%3A06020054" target="_blank" >RIV/67985807:_____/02:06020054 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Application of Neural Networks Optimized by Genetic Algorithms to Higgs Bosson Search.
Original language description
Neural network (NN) model with a special type of data flow is used to separate ttjj background from H-->bb events. A genetic algorithm principles are used to tune parameters of NN in order to optimize the final NN performance. Our results show that NN filters can be used to emphasize shape of M_bb distribution for events accepted by filter. This improvement can be used as a criterion of existence of Higgs boson decay in considered data.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
BA - General mathematics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/RP-4210%2F69" target="_blank" >RP-4210/69: International collaboration ATLAS-CERN.</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2002
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Advanced Statistical Techniques in Particle Physics.
ISBN
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ISSN
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e-ISSN
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Number of pages
6
Pages from-to
124-129
Publisher name
University of Durham
Place of publication
Durham
Event location
Durham [GB]
Event date
Mar 18, 2002
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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