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Intelligent processing of temporal data based on hybrid fuzzy-stochastic models

Intelligent processing of temporal data based on hybrid fuzzy-stochastic models A new approach to intelligent processing of temporal data that is based on hybrid fuzzy-stochastic models is proposed. A formal representation of a hybrid model implementing intelligent temporal data processing in the form of a composition of deterministic, stochastic, and fuzzy-logic models is considered. An analytical method for parameter identification of the hybrid model for the general case is presented; an illustrative example is given. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Automatic Control and Computer Sciences Springer Journals

Intelligent processing of temporal data based on hybrid fuzzy-stochastic models

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Publisher
Springer Journals
Copyright
Copyright © 2015 by Allerton Press, Inc.
Subject
Computer Science; Control Structures and Microprogramming
ISSN
0146-4116
eISSN
1558-108X
DOI
10.3103/S0146411615010046
Publisher site
See Article on Publisher Site

Abstract

A new approach to intelligent processing of temporal data that is based on hybrid fuzzy-stochastic models is proposed. A formal representation of a hybrid model implementing intelligent temporal data processing in the form of a composition of deterministic, stochastic, and fuzzy-logic models is considered. An analytical method for parameter identification of the hybrid model for the general case is presented; an illustrative example is given.

Journal

Automatic Control and Computer Sciences – Springer Journals

Published: Mar 13, 2015

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