UCSY's Research Repository

Evolutionary Neural Network for Classification of Web Page

Show simple item record

dc.contributor.author Yee, Su Mon
dc.date.accessioned 2019-07-19T14:11:06Z
dc.date.available 2019-07-19T14:11:06Z
dc.date.issued 2017-12-27
dc.identifier.uri http://onlineresource.ucsy.edu.mm/handle/123456789/1086
dc.description.abstract As with the growth of internet and related technologies, more and more content were published on the World Wide Web. Automatic classification of web page according to their category or label is of benefit for many organization, for example focused search engine and news portal. Neural network are popular machine learning algorithm and were used for classification problem. Traditional neural network are trained by back-propagation algorithm which is a local search algorithm and can easily trapped in local optima. Genetic algorithms are types of evolutionary algorithm where multiple solution mimics natural evolution to solve the problem. This paper presents a web page classification system using neural network trained with the genetic algorithm. en_US
dc.language.iso en en_US
dc.publisher Eighth Local Conference on Parallel and Soft Computing en_US
dc.title Evolutionary Neural Network for Classification of Web Page en_US
dc.type Article en_US


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search Repository



Browse

My Account

Statistics