Digitale Bibliotheek
Sluiten Bladeren door artikelen uit een tijdschrift
 
<< vorige    volgende >>
     Tijdschrift beschrijving
       Alle jaargangen van het bijbehorende tijdschrift
         Alle afleveringen van het bijbehorende jaargang
           Alle artikelen van de bijbehorende aflevering
                                       Details van artikel 2 van 6 gevonden artikelen
 
 
  A taxonomy of Self-organizing Maps for temporal sequence processing
 
 
Titel: A taxonomy of Self-organizing Maps for temporal sequence processing
Auteur: Gabriela GuimarĂ£es
Victor Sousa Lobo
Fernando Moura-Pires
Verschenen in: Intelligent data analysis
Paginering: Jaargang 7 (2003) nr. 4 pagina's 269-290
Jaar: 2003-09-02
Inhoud: This paper presents a taxonomy for Self-organizing Maps (SOMs) for temporal sequence processing. Four main application areas for SOMs with temporal processing have been identified. These are prediction, control, monitoring and data mining. Three main techniques have been used to model temporal relations in SOMs: 1) pre-processing or post-processing the data, but keeping the basic SOM algorithm; 2) modifying the activation and/or learning algorithm to take those temporal dependencies into account; 3) modifying the network topology, either by introducing feedback elements, or by using hierarchical SOMs. Each of these techniques is explained and discussed, and a more detailed taxonomy is proposed. Finally, a list of some of the existing and relevant papers in this area is presented, and the distinct approaches of SOMs for temporal sequence processing are classified into the proposed taxonomy. In order to handle complex domains, several of the adaptation forms are often combined.
Uitgever: IOS Press
Bronbestand: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details van artikel 2 van 6 gevonden artikelen
 
<< vorige    volgende >>
 
 Koninklijke Bibliotheek - Nationale Bibliotheek van Nederland