<?xml version="1.0" encoding="UTF-8"?>
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>STL Decomposition and TDNN Hybrid Time Series Forecasting</dc:title>
  <dc:title>R package stlTDNN version 0.1.0</dc:title>
  <dc:description>Implementation of hybrid STL decomposition based time delay neural network model for univariate time series forecasting. For method details see Jha G K, Sinha, K (2014). &lt;doi:10.1007/s00521-012-1264-z&gt;, Xiong T, Li C, Bao Y (2018). &lt;doi:10.1016/j.neucom.2017.11.053&gt;. </dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 2.10)</dc:relation>
  <dc:relation>Imports: forecast, nnfor</dc:relation>
  <dc:creator>Girish Kumar Jha &lt;girish.stat@gmail.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Girish Kumar Jha [aut, cre],
  Ronit Jaiswal [aut, ctb],
  Kapil Choudhary [ctb],
  Rajeev Ranjan Kumar [ctb]</dc:contributor>
  <dc:rights>GPL-3</dc:rights>
  <dc:date>2021-02-24</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=stlTDNN</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.stlTDNN</dc:identifier>
</oai_dc:dc>
