Application of Neural Networks Optimized by Genetic Algorithms to Higgs Bosson Search.

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F02%3A06020048" target="_blank" >RIV/67985807:_____/02:06020048 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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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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Type

D - Article in proceedings

CEP classification

BA - General mathematics

OECD FORD branch

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Project

<a href="/en/project/IAB2030007" target="_blank" >IAB2030007: Neuroinformatics: computational theory of neural networks</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2002

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

The 6th World Multi-Conference on Systemics, Cybernetics and Informatics. Proceedings.

ISBN

980-07-8150-1

ISSN

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e-ISSN

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Number of pages

5

Pages from-to

55-59

Publisher name

IIIS

Place of publication

Orlando

Event location

Orlando [US]

Event date

Jul 14, 2002

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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