Time Series Prediction Using Evolving Radial Basis Function Networks with New Encoding Scheme

Abstract

This paper presents a new encoding scheme for training radial basis function (RBF) networks by genetic algorithms (GAs). In general, it is very difficult to select the proper input variables and the exact number of nodes before training an RBF network. I