Object-Oriented Neural Simulation Tools For A Hypercube Parallel Machine

    Authors

    H. R. Myler; A. R. Weeks; R. K. Gillis;G. W. Hall

    Comments

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    Abbreviated Journal Title

    Neurocomputing

    Keywords

    Artificial Neural Network (Ann); Object-Oriented Programming (Oop); Parallel Processing; Computer Aided Software Engineering (Case); Computer Science, Artificial Intelligence

    Abstract

    A substantial amount of work has recently been completed at the University of Central Florida in the development of an Artificial Neural Network (ANN) simulation environment that overcomes traditional implementation problems normally associated with these types of programs. Researchers addressing the development and application of ANN systems seek modifiability, expansibility and platform independence. Our system allows for these elements as well as parallel execution when a parallel hardware is available. This is accomplished by use of object-oriented programming and a Computer Aided Software Engineering (CASE) approach to the development environment that allows the user to modify the software describing the ANN model without understanding of the overall implementation details. A sophisticated Graphical User Interface (GUI) is provided to allow rapid construction and evaluation of complex large-scale neural models.

    Journal Title

    Neurocomputing

    Volume

    4

    Issue/Number

    5

    Publication Date

    1-1-1992

    Document Type

    Article

    Language

    English

    First Page

    325

    Last Page

    248

    WOS Identifier

    WOS:A1992JV68900002

    ISSN

    0925-2312

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