Umělá inteligence v dopravních aplikacích

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21260%2F04%3A06106545" target="_blank" >RIV/68407700:21260/04:06106545 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Computational Intelligence in Transportation Applications

Popis výsledku v původním jazyce

The main objective of this workshop is to provide an overview of methods that belong to the field of computational intelligence and their suitability for transportation planning and modeling. The following methods will be addressed by this workshop: Fuzzy Logic, Artificial Neural Networks, Adaptive Neuro-Fuzzy Inference Systems (ANFIS), and Genetic Algorithms. The basic principles of these methods will be described and their practical applications will be illustrated with examples. Often the methods ofcomputational intelligence suffer criticism about their performance due to inappropriate use to problems that they are not meant to serve. This workshop will offer the strengths and weaknesses of each method and describe the appropriate problems for each. The workshop will focus mainly on applications to data analysis and data mining.

Název v anglickém jazyce

Computational Intelligence in Transportation Applications

Popis výsledku anglicky

The main objective of this workshop is to provide an overview of methods that belong to the field of computational intelligence and their suitability for transportation planning and modeling. The following methods will be addressed by this workshop: Fuzzy Logic, Artificial Neural Networks, Adaptive Neuro-Fuzzy Inference Systems (ANFIS), and Genetic Algorithms. The basic principles of these methods will be described and their practical applications will be illustrated with examples. Often the methods ofcomputational intelligence suffer criticism about their performance due to inappropriate use to problems that they are not meant to serve. This workshop will offer the strengths and weaknesses of each method and describe the appropriate problems for each. The workshop will focus mainly on applications to data analysis and data mining.

Druh

A - Audiovizuální tvorba

CEP obor

BC - Teorie a systémy řízení

OECD FORD obor

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Projekt

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Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2004

Kód důvěrnosti údajů

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

ISBN

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Místo vydání

Athens

Název nakladatele resp. objednatele

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Verze

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Identifikační číslo nosiče

neuvedeno