About: Managerial Forecasting System Based on RBF Neural Network for Financial Data     Goto   Sponge   NotDistinct   Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

AttributesValues
rdf:type
Description
  • Forecasting systems are applied which are based on the latest statistical theory and artificial neural networks. The impact of these methods to risk reduction is judged in managerial decision-making. The fundamental question arises whether non-linear methods like neural networks can help modeling any non-linearities being inherent within the estimated statistical model. The proposed novel modeling approach is applied to high frequency time series of USD/CAD exchange rates. Our results show that the proposed neural approach achieves better forecast accuracy on the validation dataset than most available statistical techniques.
  • Forecasting systems are applied which are based on the latest statistical theory and artificial neural networks. The impact of these methods to risk reduction is judged in managerial decision-making. The fundamental question arises whether non-linear methods like neural networks can help modeling any non-linearities being inherent within the estimated statistical model. The proposed novel modeling approach is applied to high frequency time series of USD/CAD exchange rates. Our results show that the proposed neural approach achieves better forecast accuracy on the validation dataset than most available statistical techniques. (en)
Title
  • Managerial Forecasting System Based on RBF Neural Network for Financial Data
  • Managerial Forecasting System Based on RBF Neural Network for Financial Data (en)
skos:prefLabel
  • Managerial Forecasting System Based on RBF Neural Network for Financial Data
  • Managerial Forecasting System Based on RBF Neural Network for Financial Data (en)
skos:notation
  • RIV/47813059:19240/12:#0004399!RIV13-MSM-19240___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(ED1.1.00/02.0070)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 148003
http://linked.open...ai/riv/idVysledku
  • RIV/47813059:19240/12:#0004399
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Forecasting models; neural networks; MDM (Managerial Decision Making); accuracy of forecasting models (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [DB6AD89EE34F]
http://linked.open...v/mistoKonaniAkce
  • Peking, Čína
http://linked.open...i/riv/mistoVydani
  • Peking, Čína
http://linked.open...i/riv/nazevZdroje
  • 2013 International Conference on Information, Businessand Education Technology - ICIBET 2013
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Marček, Dušan
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • Atlantis Press Paris
https://schema.org/isbn
  • 978-90-78677-56-7
http://localhost/t...ganizacniJednotka
  • 19240
Faceted Search & Find service v1.16.118 as of Jun 21 2024


Alternative Linked Data Documents: ODE     Content Formats:   [cxml] [csv]     RDF   [text] [turtle] [ld+json] [rdf+json] [rdf+xml]     ODATA   [atom+xml] [odata+json]     Microdata   [microdata+json] [html]    About   
This material is Open Knowledge   W3C Semantic Web Technology [RDF Data] Valid XHTML + RDFa
OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 112 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software