ARTIFICIAL NEURAL NETWORK FOR MODELS OF HUMAN OPERATOR

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21730%2F17%3A00327605" target="_blank" >RIV/68407700:21730/17:00327605 - isvavai.cz</a>

Result on the web

<a href="https://ojs.cvut.cz/ojs/index.php/APP/article/view/4029" target="_blank" >https://ojs.cvut.cz/ojs/index.php/APP/article/view/4029</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.14311/APP.2017.12.0099" target="_blank" >10.14311/APP.2017.12.0099</a>

Result language

angličtina

Original language name

ARTIFICIAL NEURAL NETWORK FOR MODELS OF HUMAN OPERATOR

Original language description

This paper presents a new approach to mental functions modeling with the use of artificial neural networks. The artificial neural networks seems to be a promising method for the modeling of a human operator because the architecture of the ANN is directly inspired by the biological neuron. On the other hand, the classical paradigms of artificial neural networks are not suitable because they simplify too much the real processes in biological neural network.

Czech name

—

Czech description

—

Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

—

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2017

Confidentiality

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

Article name in the collection

DRIVE-CAR INTERACTION & SAFETY CONFERENCE

ISBN

978-80-01-06336-1

ISSN

—

e-ISSN

2336-5382

Number of pages

5

Pages from-to

99-103

Publisher name

České vysoké učení technické v Praze

Place of publication

Praha

Event location

Prague

Event date

Jun 16, 2016

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

000431391000017