Growing and pruning (GAP) RBF networks for call admission control in ATM traffic management

Growing and pruning (GAP) RBF networks for call admission control in ATM traffic management

This thesis presents a study on the use of recently developed neural networks MRAN (Minimal Resource Allocation Network) and GAP (Growing and Pruning neural network) for the performance enhancement of Call Admission Control in Asynchronous Transfer Mode (ATM) networks. GAP and MRAN generate a minima...

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Bibliographic Details
Main Author: Mohit Aiyar
Other Authors: Narasimhan Sundararajan
Format: Thesis
Published: 2008
Subjects:
DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
DRNTU::Engineering::Computer science and engineering::Computing methodologies
Online Access:https://hdl.handle.net/10356/4905

Internet

https://hdl.handle.net/10356/4905

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