Analysis of neural-network-based congestion control algorithms for ATM networks-Reference-Cited by-同舟云学术

Analysis of neural-network-based congestion control algorithms for ATM networks

Published:1999-08 Issue:4 Volume:12 Page:453-470
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Douligeris Christos,Singh Brajesh Kumar

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference16 articles.

1. A neural model for adaptive congestion control in ATM networks;Chen,1994

2. Durand, R., 1995. Neural-network-based congestion control for single and multiple sources in ATM networks. Masters Dissertation, University of Miami

3. Fundamentals of Neural Networks;Fausett,1994

4. Congestion control strategies in ATM networks;Fratta;ETT,1992

5. Hartanto, V.F., Sirisena, H.R., 1992. User-network policer: a new approach for ATM congestion control. IEEE INFOCOM, San Francisco

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. iTCP: an intelligent TCP with neural network based end-to-end congestion control for ad-hoc multi-hop wireless mesh networks;Wireless Networks;2014-09-09

2. Reinforcement learning of ball screw feed drive controllers;Engineering Applications of Artificial Intelligence;2014-04

3. Effect of Initial Conditioning of Reinforcement Learning Agents on Feedback Control Tasks over Continuous State and Action Spaces;Advances in Intelligent Systems and Computing;2014

4. A Novel Associative Memory System Based Modeling and Prediction of TCP Network Traffic;Advances in Neural Networks – ISNN 2007;2007