Title

Object-Oriented Neural Simulation Tools For A Hypercube Parallel Machine

Authors

Authors

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

Comments

Authors: contact us about adding a copy of your work at STARS@ucf.edu

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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