Skip to content
University of Maryland LibrariesDigital Repository at the University of Maryland
    • Login
    View Item 
    •   DRUM
    • A. James Clark School of Engineering
    • Institute for Systems Research Technical Reports
    • View Item
    •   DRUM
    • A. James Clark School of Engineering
    • Institute for Systems Research Technical Reports
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Hierarchical Neural Networks

    Thumbnail
    View/Open
    TR_91-4.pdf (2.246Mb)
    No. of downloads: 730

    Date
    1991
    Author
    Mavrovouniotis, Micheal L.
    Metadata
    Show full item record
    Abstract
    With the common three-layer neural network architectures, networks lack internal structure; as a consequence, it is very difficult to discern characteristics of the knowledge acquired by a network, in order to evaluate its reliability and applicability. An alternative neural-network architecture is presented, based on a hierarchical organization. Hierarchical networks consist of a number of loosely-coupled subnets, arranged in layers. Each subnet is intended to capture specific aspects of the input data. A subnet models a particular subset of the input variables, but the exact patterns and relationships among variables are determined by training the network as a whole. However, the hierarchy of subnets gives the network hints to look for patterns in the most promising directions. Their modular organization makes hierarchical neural networks easier to analyze, because one can focus on the analysis of one subnet at a time, rather than attempt to decipher the whole network at once.
    URI
    http://hdl.handle.net/1903/5052
    Collections
    • Institute for Systems Research Technical Reports

    DRUM is brought to you by the University of Maryland Libraries
    University of Maryland, College Park, MD 20742-7011 (301)314-1328.
    Please send us your comments.
    Web Accessibility
     

     

    Browse

    All of DRUMCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

    My Account

    LoginRegister
    Pages
    About DRUMAbout Download Statistics

    DRUM is brought to you by the University of Maryland Libraries
    University of Maryland, College Park, MD 20742-7011 (301)314-1328.
    Please send us your comments.
    Web Accessibility