Artificial Neural Networks for Models of Driver´s Brain Functions
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21260%2F13%3A00207268" target="_blank" >RIV/68407700:21260/13:00207268 - isvavai.cz</a>
Result on the web
—
DOI - Digital Object Identifier
—
Alternative languages
Result language
angličtina
Original language name
Artificial Neural Networks for Models of Driver´s Brain Functions
Original language description
Neural networks are used in various applications such as signal modelling, prediction or pattern recognition, however, they are still rarely used for the purposes which stood beside the original motivation of the concept of their development; the inspiration for the design of the artificial neural networks was an attempts to imitate the functions of the biological neuron. The growth of computational power in connection with the increasing knowledge of the biological neural cell makes viable the originalidea of using the neural networks for fast decision making and recognition of situations in similar way to the humans. Several research centres throughout the whole world are now carrying out the task of accurate brain simulation. Despite the complexityof this assignment and the unprobability of meeting it during the next years, the work on such simulations can improve the knowledge of brain functions which can lead to many practical applications that can improve the transport safety a
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
BC - Theory and management systems
OECD FORD branch
—
Result continuities
Project
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
20th Anniversary of the Faculty of Transportation Sciences, Czech Technical University in Prague - Selected Papers
ISBN
978-80-01-05320-1
ISSN
—
e-ISSN
—
Number of pages
5
Pages from-to
207-211
Publisher name
České vysoké učení technické v Praze, Fakulta dopravní
Place of publication
Praha
Event location
Praha
Event date
Sep 1, 2013
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
—