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<records>
  <record>
    <language>eng</language>
    <publisher>Science and Education Publishing</publisher>
    <journalTitle>American Journal of Applied Mathematics and Statistics</journalTitle>
    <eissn>2328-7292</eissn>
    <publicationDate>2015-07-23</publicationDate>
    <volume>3</volume>
    <issue>4</issue>
    <startPage>151</startPage>
    <endPage>155</endPage>
    <doi>10.12691/ajams-3-4-3</doi>
    <publisherRecordId>AJAMS2015343</publisherRecordId>
    <documentType>article</documentType>
    <title language="eng">Of Students Academic Performance Rates Using Artificial Neural Networks (ANNs)</title>
    <authors>
      <author>
        <name>O. C. Asogwa</name>
        <email>qackasoo@yahoo.com</email>
        <affiliationId>1</affiliationId>
      </author>
      <author>
        <name>A. V.Oladugba</name>
        <affiliationId>2</affiliationId>
      </author>
    </authors>
    <affiliationsList>
      <affiliationName affiliationId="1">Department of Mathematics, Computer Science, Statistics and Informatics, Federal University Ndufu-Alike Ikwo</affiliationName>
      <affiliationName affiliationId="2">Department of Statistics, University of Nigeria, Nsukka</affiliationName>
    </affiliationsList>
    <abstract language="eng">A model based on the multilayer perception algorithm was programmed. The result from the test data evaluation showed that the programmed Artificial Neural Network model was able to correctly predict and classify the performance of students with Mean Correct Classification Rate CCR of 97.07%.</abstract>
    <fullTextUrl format="pdf">http://pubs.sciepub.com/ajams/3/4/3/ajams-3-4-3.pdf</fullTextUrl>
    <keywords language="eng">
      <keyword>
        <b>
        </b>mean correct classification rate</keyword>
      <keyword>Artificial Neural Networks (ANNs)</keyword>
      <keyword>Predictive models</keyword>
    </keywords>
  </record>
</records>