Round Trip Time Prediction Using the Symbolic Function Network Approach
  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. 
George S. Eskander, Amir Atiya, Kil To Chong, Hyongsuk Kim, Sung Goo   Yoo