Neural network implementation for reliability evaluation

Author

Hachem, Nabil ; Bedi, Jatinder

Author_Institution

Lawrence Technol. Univ., Southfield, MI, USA

fYear

1996

fDate

11-14 Apr 1996

Firstpage

359

Lastpage

365

Abstract

A new method for computing the terminal reliability of communication systems using artificial neural networks is presented. The algorithm utilizes an improved method for minimizing Boolean functions to obtain the reliability expression, and a multilayer neural network to implement the system. It is assumed that reliable nodes and the probability of link existence of each link is known. Examples illustrate the new method

Keywords

Boolean functions; backpropagation; multilayer perceptrons; probability; telecommunication computing; telecommunication links; telecommunication network reliability; Boolean functions minimisation; algorithm; artificial neural networks; back propagation; communication system; link existence probability; multilayer neural network; neural network implementation; reliability evaluation; reliable node; terminal reliability; Artificial neural networks; Boolean algebra; Boolean functions; Communication networks; Computer network reliability; Computer networks; Minimization methods; Multi-layer neural network; Neural networks; Telecommunication network reliability;

fLanguage

English

Publisher

ieee

Conference_Titel

Southeastcon '96. Bringing Together Education, Science and Technology., Proceedings of the IEEE

Conference_Location

Tampa, FL

Print_ISBN

0-7803-3088-9

Type

conf

DOI

10.1109/SECON.1996.510090

Filename

510090