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.
