ANNS An X Window Based Version of the AFIT Neural Network Simulator

Abstract

This thesis presents an X Window based neural network simulation environment developed at Air Force Institute of Technology (AFIT) using the techniques of modern software engineering. This artificial neural network simulator is a tool running on Sun SPARCstations and supporting two user modes: end-users and client-programmers. End-users interact with neural network paradigms developed by client-programmers for the purpose of studying and analyzing the execution of a particular Neural Network (NN) paradigm, or class of NN algorithms. Client programmers maintain the system and use this environment for the development of new NN paradigms or algorithms for end-users. The development follows a hybrid software engineering paradigm which combines the best characteristics of the classic life cycle. prototype. and iterative methodologies through requirements, design, implementation, and testing. An object-oriented approach is used for the design including preliminary and detailed design. The system is implemented with the C programming language on Sun workstation and uses the XView window-based environment. It provides users with a variety of control and input options: simulation speed control, multiple and simultaneous NN algorithm simulations, and simulation environment control.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1993
Accession Number
ADA266540

Entities

People

  • Ching-seh Wu

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Application Software
  • Artificial Intelligence
  • C Programming Language
  • Computer Languages
  • Computer Programming
  • Computer Programs
  • Computers
  • Graphical User Interface
  • Neural Networks
  • Operating Systems
  • Pattern Recognition
  • Software Development
  • Software Testing
  • Two Dimensional
  • United States
  • User Interface
  • User Interface Engineering

Fields of Study

  • Computer science
  • Engineering

Readers

  • Database Systems and Applications
  • Neural Network Machine Learning.

Technology Areas

  • AI & ML
  • AI & ML - Neural Networks