Evolutionary Identification of Predictive Models
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26520%2F00%3A63300098" target="_blank" >RIV/00216305:26520/00:63300098 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Evolutionary Identification of Predictive Models
Original language description
In this contribution is shown, how can be used evolutionary algorithms (EA) for retrieval of suitable predictive models. Two new different algorithms were used. The first one was Differential Evolution (DE) and the second one was Self-Organizing Migrating Algorithm (SOMA). Both algorithms were used in the same way to find the best model whose response is comparable with given time series as much as possible. Problem was build up like problem of optimization where the cost function was based on difference between original time series and time series from identified model
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Result continuities
Project
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2000
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
International Symposium on Engineering of Intelligent Systems
ISBN
3-906454-21-5
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
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Publisher name
Publication by ICSC Academic Press International Computer Science Conventions, Canada, Switzerland
Place of publication
Paisley, Scotland
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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