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

• Main Author: Mohit Aiyar
• Other Authors: Narasimhan Sundararajan
• Format: Theses and Dissertations
• 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
• Institution: Nanyang Technological University

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...