View Item 
        •   Utrecht University Student Theses Repository Home
        • UU Theses Repository
        • Theses
        • View Item
        •   Utrecht University Student Theses Repository Home
        • UU Theses Repository
        • Theses
        • View Item
        JavaScript is disabled for your browser. Some features of this site may not work without it.

        Browse

        All of UU Student Theses RepositoryBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

        The Effects of Problem Representation and Network Representation on Training Results of Artificial Neural Networks

        Thumbnail
        View/Open
        OnNetworkRepresentationsFINAL.pdf (289.6Kb)
        Publication date
        2013
        Author
        Berg, A. van den
        Metadata
        Show full item record
        Summary
        There are different ways to obtain a good Artificial Neural Network. When training, the choice of the data set is of importance to the quality of the resulting network. When evolving a network using Genetic Algorithms, it is important that the representation of the network does not interfere with the passing-on of information to next generations. I looked into the effects of data representation on the quality of the trained networks, and I investigated one solution proposed by Thierens (1996) to unheuristically remove redundancies in genotype. I could not verify the results found in the proposed solution.
        URI
        https://studenttheses.uu.nl/handle/20.500.12932/15107
        Collections
        • Theses
        Utrecht university logo