Radon short range forecasting through time series preprocessing and neural network modeling

Volume: 30, Issue: 7
Published: Apr 1, 2003
Abstract
[1] In the framework of studies about the relevance of radon progeny measurements for the estimation of the mixing height, here a time series of radon data is analyzed and used for a short range forecasting activity. After a preprocessing of the time series in order to subtract the known periodicities, we perform forecasts of the future values of the residual series by means of neural network modeling. Finally we apply a simple box model to real...
Paper Details
Title
Radon short range forecasting through time series preprocessing and neural network modeling
Published Date
Apr 1, 2003
Volume
30
Issue
7
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.