Neural Nets Evolved by GA - Simulation and Control of Dynamic Systems

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F99%3A00000069" target="_blank" >RIV/00216305:26210/99:00000069 - 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

Neural Nets Evolved by GA - Simulation and Control of Dynamic Systems

Original language description

The paper presents the use of automatically generated neural networks for the simulation and control of non-linear dynamic systems. Genetic algorithm is used as the generator. The topology of the network is encoded into the chromosome using special cellular code, which ensures the coherence of the network generated by such code. The cellular code is represented by grammar tree. Examples of numerical experiments are included.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

JR - Other machinery industry

OECD FORD branch

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Project

<a href="/en/project/VS96122" target="_blank" >VS96122: Resarch Laboratory for Mechatronic Systems</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

1999

Confidentiality

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

Article name in the collection

DETC 99

ISBN

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ISSN

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e-ISSN

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Number of pages

1

Pages from-to

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Publisher name

ASME

Place of publication

Las Vegas, USA

Event location

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Event date

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Type of event by nationality

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UT code for WoS article

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