In this paper, we develop a novel approach to model the Internet round trip time using a recently proposed symbolic type neural network model called symbolic function network. The developed predictor is shown to have good generalization performance and simple representation compared to the multilayer perceptron based predictors.
@article{arxiv.0806.3646,
title = {Round Trip Time Prediction Using the Symbolic Function Network Approach},
author = {George S. Eskander and Amir Atiya and Kil To Chong and Hyongsuk Kim and Sung Goo Yoo},
journal= {arXiv preprint arXiv:0806.3646},
year = {2008}
}