Quasi-Non-Ergodic Probabilistic Systems and Wave Probabilistic Functions

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21260%2F09%3A00161225" target="_blank" >RIV/68407700:21260/09:00161225 - 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

Quasi-Non-Ergodic Probabilistic Systems and Wave Probabilistic Functions

Original language description

This paper presents models of quasi-non-ergodic probabilistic systems that are defined through the theory of wave probabilistic functions presented in [10-16]. First of all we show the new methodology oil a binary non-ergodic time series. The theory is extended into M-dimensional non-ergodic n-valued systems with linear ergodicity evolution that are called quasi-non-ergodic probabilistic systems. present two illustrative examples of applications of introduced theories and models.

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

BD - Information theory

OECD FORD branch

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Project

<a href="/en/project/OC%20194" target="_blank" >OC 194: Intelligent transport systems (ITS) effectiveness and their impacts on sustainable environment</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2009

Confidentiality

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

Name of the periodical

Neural Network World

ISSN

1210-0552

e-ISSN

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Volume of the periodical

19

Issue of the periodical within the volume

3

Country of publishing house

CZ - CZECH REPUBLIC

Number of pages

14

Pages from-to

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UT code for WoS article

000267731300005

EID of the result in the Scopus database

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