Computational Intelligence in Transportation Applications

Result code in 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>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Computational Intelligence in Transportation Applications
Original language description
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.
Czech name
Umělá inteligence v dopravních aplikacích
Czech description
Hlavním cílem tohoto příspěvku je popsat metody umělé inteligence jejich hlavní výhody a nevýhody. Hlavní důraz byl kladen na jejich aplikace v dopravě. Jednalo se zejména o následující metody: fuzzy logika, umělé neuronové sítě, adaptivní neuro=fuzzy inferenční systém (ANFIS), a genetické algorimy.

Publication year
2004
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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