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”

Local nonlinear filters with the second-order accuracy for neural network parameter estimation

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F06%3A00000014" target="_blank" >RIV/49777513:23520/06:00000014 - isvavai.cz</a>

  • Alternative codes found

    RIV/49777513:23520/06:00000015

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Local nonlinear filters with the second-order accuracy for neural network parameter estimation

  • Original language description

    This paper concentrates on parameter estimation of multi-layer perceptron network by nonlinear filtering methods. Whereas the EKF is using pproximation by the first order Taylor series expansion, the UKF estimates the parameters numerically by using a set of deterministically chosen points having higher degree of accuracy than the EKF without need to compute the derivatives of the function describing the network. Comparable accuracy as by UKF could be obtained by the truncated second-order filter (TSF).TSF has not been used yet because it is considered as more computationally demanding due to need of evaluation the matrix of second order derivatives. This paper points out, that the SKF is faster than the UKF in parameter estimation of MLP network thanks to a special form of the matrix of the second order derivatives. The evaluation of estimation quality and computational demands are demonstrated by a numerical example.

  • Czech name

    Odhad parametrů neuronové sítě filtry druhého řádu

  • Czech description

    Odhad parametrů perceptronové sítě lokálními nelineárním filtračními metodami je zkoumán. Je porovnávána přesnost a rychlost rozšířeného Kalmanova filtru s filtrem druhého řádu a transformačním filtrem. Je ukázáno, že transformační filtr je při odhadu parametrů perceptronové sítě výrazně rychlejší než transformační filtr.

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    BB - Applied statistics, operational research

  • OECD FORD branch

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

    2006

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Proceedings of 7th International Carpathian control conference

  • ISBN

    80-248-1066-2

  • ISSN

  • e-ISSN

  • Number of pages

    4

  • Pages from-to

    165-168

  • Publisher name

    VŠB -Technická univerzita

  • Place of publication

    Ostrava

  • Event location

    Rožnov pod Radhoštěm

  • Event date

    Jan 1, 2006

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article