Date of Award
6-1993
Document Type
Thesis
Degree Name
Master of Science in Computer Engineering
Department
Department of Electrical and Computer Engineering
First Advisor
Steven K. Rogers, PhD
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.
AFIT Designator
AFIT-GCE-ENG-93J-01
DTIC Accession Number
ADA266540
Recommended Citation
Wu, Ching-Seh, "ANNS An X Window Based Version of the AFIT Neural Network Simulator" (1993). Theses and Dissertations. 7092.
https://scholar.afit.edu/etd/7092
Comments
The author's Vita page is omitted.