Title :
Neural networks for routing of communication networks with unreliable components
Author :
Lee, Su-Ling ; Chang, Shyang
Author_Institution :
Dept. of Electr. Eng., Nat. Tsing Hua Univ., Hsinchu, Taiwan
fDate :
9/1/1993 12:00:00 AM
Abstract :
A new neural network model, Routron, which can handle dependent component failures of communication networks, is proposed. We prove that the proposed Routron has a stable solution. Moreover, useful upper and lower bounds for the design parameters are derived to help select them in implementations. Simulation results are included to illustrate the effectiveness of the algorithm
Keywords :
neural nets; telecommunication network routing; telecommunications computing; Routron; communication network routing; design parameters; lower bounds; neural network model; upper bounds; Biology computing; Communication networks; Computer networks; Concurrent computing; Cost function; Degradation; Neural networks; Routing; Speech recognition; Telecommunication network topology;
Journal_Title :
Neural Networks, IEEE Transactions on
