Hybrid Inductive Models: Deterministic Crowding Employed

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F04%3A03099379" target="_blank" >RIV/68407700:21230/04:03099379 - 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

Hybrid Inductive Models: Deterministic Crowding Employed

Original language description

Our research draws on experience with Group Method of Data Handling (GMDH) introduced by Ivachknenko in 1966. We have modified Multilayered Iterative Algorithm (MIA) that is commonly used to generate inductive models of real-world systems. In our algorithm heterogeneous units are used instead of units with given polynomial transfer function and therefore Hybrid Inductive Models (HIMs) are generated. This paper shows how to improve the efficiency of search for optimal HIMs. This is attained by employingDeterministic Crowding (DC) method proposed by Mahfoud in 1995. As a by-product of using DC method, we can estimate the importance of input variables for modeled output (sensitivity analysis).

Czech name

Není k dispozici

Czech description

Není k dispozici

Type

A - Audiovisual production

CEP classification

JC - Computer hardware and software

OECD FORD branch

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Project

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Continuities

Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2004

Confidentiality

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

ISBN

0-7803-8360-5

Place of publication

Piscataway

Publisher/client name

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Version

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Carrier ID

neuvedeno