All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

Anomalous and traditional diffusion modelling in SOM learning

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21340%2F19%3A00335997" target="_blank" >RIV/68407700:21340/19:00335997 - isvavai.cz</a>

  • Result on the web

    <a href="http://hdl.handle.net/10467/87000" target="_blank" >http://hdl.handle.net/10467/87000</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.24425/acs.2019.131233" target="_blank" >10.24425/acs.2019.131233</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Anomalous and traditional diffusion modelling in SOM learning

  • Original language description

    The traditional self organizing map (SOM) is learned by Kohonen learning. The main disadvantage of this approach is in epoch based learning when the radius and rate of learning are decreasing functions of epoch index. The aim of study is to demonstrate advantages of diffusive learning in single epoch learning and other cases for both traditional and anomalous diffusion models. We also discuss the differences between traditional and anomalous learning in models and in quality of obtained SOM. The anomalous diffusion model leads to less accurate SOM which is in accordance to biological assumptions of normal diffusive processes in living nervous system. But the traditional Kohonen learning has been overperformed by novel diffusive learning approaches.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

    <a href="/en/project/EF16_019%2F0000765" target="_blank" >EF16_019/0000765: Research Center for Informatics</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2019

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Archives of Control Sciences

  • ISSN

    2300-2611

  • e-ISSN

  • Volume of the periodical

    29

  • Issue of the periodical within the volume

    4

  • Country of publishing house

    PL - POLAND

  • Number of pages

    19

  • Pages from-to

    699-717

  • UT code for WoS article

    000500305900008

  • EID of the result in the Scopus database