<?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>MARS Based ANN Hybrid Model</dc:title>
  <dc:title>R package MARSANNhybrid version 0.1.0</dc:title>
  <dc:description>Multivariate Adaptive Regression Spline (MARS) based Artificial Neural Network (ANN) hybrid model is combined Machine learning hybrid approach which selects important variables using MARS and then fits ANN on the extracted important variables.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 3.3.0),neuralnet,earth,stats</dc:relation>
  <dc:creator>Pankaj Das &lt;pankaj.das2@icar.gov.in&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Pankaj Das [aut, cre],
  Achal Lama [aut],
  Girish Kumar Jha [aut]</dc:contributor>
  <dc:rights>GPL-3</dc:rights>
  <dc:date>2021-01-14</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=MARSANNhybrid</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.MARSANNhybrid</dc:identifier>
</oai_dc:dc>
