Methods of Artificial Intelligence for Simulation of Gasification of Biomass and Communal Waste
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27740%2F21%3A10247977" target="_blank" >RIV/61989100:27740/21:10247977 - isvavai.cz</a>
Alternative codes found
RIV/61989100:27730/21:10247977
Result on the web
<a href="https://doi.org/10.1109/iccc51557.2021.9454641" target="_blank" >https://doi.org/10.1109/iccc51557.2021.9454641</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ICCC51557.2021.9454641" target="_blank" >10.1109/ICCC51557.2021.9454641</a>
Alternative languages
Result language
angličtina
Original language name
Methods of Artificial Intelligence for Simulation of Gasification of Biomass and Communal Waste
Original language description
Artificial intelligence (AI) methods can simulate accurately outcomes of gasification processes based on real data sets. Quality and composition of gas obtained from solid fuels depend on the temperature of the gasifying agent (air or steam) and the composition of used solid waste (biomass, industrial waste or combustibles from municipal solid waste, such as plastics, textile, wood, paper, tires, etc.). To simulate the gasification processes, a symbolic regression software AI Feynman is tested. Finally, the results of symbolic regression are compared with measured data. The results indicate that symbolic regression of AI Feynman is useful for modelling of biomass gasification technologies from measured data. (C) 2021 IEEE.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10200 - Computer and information sciences
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2021 22nd International Carpathian Control Conference, ICCC 2021
ISBN
978-1-72818-609-2
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
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Publisher name
IEEE
Place of publication
Piscataway
Event location
Velké Karlovice
Event date
May 31, 2021
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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