Artificial Neural Networks in Biomedicine Applications

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F15%3A50002931" target="_blank" >RIV/62690094:18450/15:50002931 - isvavai.cz</a>

Result on the web

<a href="http://link.springer.com/chapter/10.1007/978-3-319-11104-9_16" target="_blank" >http://link.springer.com/chapter/10.1007/978-3-319-11104-9_16</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-319-11104-9_16" target="_blank" >10.1007/978-3-319-11104-9_16</a>

Result language

angličtina

Original language name

Artificial Neural Networks in Biomedicine Applications

Original language description

This paper reviews artificial neural networks (ANN) and their use in various disciplines, especially medicine and biomedicine. As these are progressively evolving fields of knowledge, modern methods such as ANN help to process information in order to extract positive contribution to the development of human knowledge. The article illuminates this information processing in case of artificial neural neurons and presents learning algorithms for ANN. Finally, current usage is reviewed with special impact ondrug desigh and development and application in biomedicine.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

IN - Informatics

OECD FORD branch

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Project

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Continuities

V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Publication year

2015

Confidentiality

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

Article name in the collection

Computer engineering and networks (CENet2014)

ISBN

978-3-319-11103-2

ISSN

1876-1100

e-ISSN

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Number of pages

7

Pages from-to

133-139

Publisher name

Springer

Place of publication

New York

Event location

Shanghai, China

Event date

Jul 19, 2014

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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