The use of learning algorithms in ATM networks call admission control problem: A methodology

AF Atlasis, NH Loukas, AV Vasilakos - Computer Networks, 2000 - Elsevier
Call Admission Control (CAC) is one of the most fundamental preventive congestion control
mechanisms in Asynchronous Transfer Mode (ATM) networks. Several mathematical …

[HTML][HTML] Path length prediction in MANET under AODV routing: Comparative analysis of ARIMA and MLP model

A Pal, JP Singh, P Dutta - Egyptian Informatics Journal, 2015 - Elsevier
Mobile Ad-hoc network (MANET) is infra-structure less collection of mobile nodes which can
communicate with each other through single hop or multi-hop technique. The hop count also …

Intelligent traffic control for ATM broadband networks

AA Tarraf, IW Habib, TN Saadawi - IEEE Communications …, 1995 - ieeexplore.ieee.org
Performance results prove that a neural networks approach achieves better results, simpler
and faster, than algorithmic approaches. The focus of this paper is to shed light on how …

Traffic prediction and dynamic bandwidth allocation over ATM: a neural network approach

WM Moh, MJ Chen, NM Chu, CD Liao - Computer Communications, 1995 - Elsevier
ATM (Asynchronous Transfer Mode) has been recommended as the transport vehicle for
Broadband Integrated Service Digital Networks (BISDN). The ATM technology offers a great …

H∞ anti-synchronization of switching inertial neural networks with leakage delays and mixed time-varying delays

S Yuan, Y Wang, X Zhang, X Wang - Mathematics and Computers in …, 2024 - Elsevier
In this paper, the H∞ anti-synchronization problem of switching inertial neural networks with
constant leakage delays and time-varying mixed delays is addressed. A direct analysis …

Mobile ad hoc network proactive routing with delay prediction using neural network

Z Guo, S Sheikh, C Al-Najjar, H Kim, B Malakooti - Wireless Networks, 2010 - Springer
Existing MANET routing protocols rely heavily on hop count evaluation. Although this is
simple and efficient, it sacrifices the potential performance gains obtainable by considering …

Applications of neurocomputing in traffic management of ATM networks

IW Habib - Proceedings of the IEEE, 1996 - ieeexplore.ieee.org
In the near future, high speed integrated networks, employing asynchronous transfer mode
(ATM) cell switching and multiplexing technique, will be used to provide new and diverse …

Delay prediction for intelligent routing in wireless networks using neural networks

Z Guo, B Malakooti - 2006 IEEE International Conference on …, 2006 - ieeexplore.ieee.org
Research on wireless routing protocols have been striving to achieve two important but
contradicting goals: adaptability to the dynamic network conditions and efficient routing …

A positively self-feedbacked Hopfield neural network architecture for crossbar switching

Y Li, Z Tang, GP Xia, RL Wang - IEEE Transactions on Circuits …, 2005 - ieeexplore.ieee.org
We propose a positively self-feedbacked Hopfield neural network architecture for efficiently
solving crossbar switch problem. A binary Hopfield neural network architecture with …

A binary Hopfield neural network with hysteresis for large crossbar packet-switches

G Xia, Z Tang, Y Li, J Wang - Neurocomputing, 2005 - Elsevier
In this paper, we propose a hysteretic Hopfield neural network architecture for efficiently
solving crossbar switch problems. A binary Hopfield neural network architecture with …