Gaussian network variants: a preliminary study
Stephen J. Koffman, P.H. Mechl · 2002
Five variants of a Gaussian network are compared with respect to learning capabilities on three different data sets. The variations allow different degrees of flexibility in approximating a function. Greater flexibility is incurred at the cost of increased processing time. Simulation results indicate a point of diminishing returns with increasing flexibility.>