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        <identifier>oai:meral.edu.mm:recid/3324</identifier>
        <datestamp>2021-12-13T06:01:29Z</datestamp>
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          <dc:title>Evolutionary Neural Network for Classification of Web Page</dc:title>
          <dc:creator>Yee, Su Mon</dc:creator>
          <dc:description>As with the growth of internet and relatedtechnologies, more and more content werepublished on the World Wide Web. Automaticclassification of web page according to theircategory or label is of benefit for manyorganization, for example focused search engineand news portal. Neural network are popularmachine learning algorithm and were used forclassification problem. Traditional neural networkare trained by back-propagation algorithm whichis a local search algorithm and can easily trappedin local optima. Genetic algorithms are types ofevolutionary algorithm where multiple solutionmimics natural evolution to solve the problem.This paper presents a web page classificationsystem using neural network trained with thegenetic algorithm.</dc:description>
          <dc:date>2017-12-27</dc:date>
          <dc:identifier>http://hdl.handle.net/20.500.12678/0000003324</dc:identifier>
          <dc:identifier>https://meral.edu.mm/records/3324</dc:identifier>
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