A flexible graphical user interface for embedding heterogeneous neural network simulators

Radu Drossu, Zoran Obradović, Justin Fletcher

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

The graphical user interface (GUI) for heterogeneous neural network simulators proposed in this article is intended to be of use both for the novice and for the experienced neural network user. For the novice, it provides an easy-to-use neural network simulation package that insulates the user from the requirements of knowing the simulator implementation details or the configuration file syntax. For the experienced neural network professional it provides an interface that is easily extensible to include any additional neural network simulator in its binary form. To satisfy both academic and personal computer environments, the GUI has been developed by using the free TCL/TK software package, available on workstations running UNIX and on PC's running the free Linux operating system. Although the GUI and the embedded simulators have been successfully tested both in neural network research and training programs, a more extensive testing in undergraduate and graduate level classes is in progress.

Original languageEnglish (US)
Pages (from-to)367-374
Number of pages8
JournalIEEE Transactions on Education
Volume39
Issue number3
DOIs
StatePublished - 1996

ASJC Scopus subject areas

  • Education
  • Electrical and Electronic Engineering

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