Constructive density estimation network based on several different separable transfer functions

Networks estimating probability density are usually based on radial basis function of the same type. Feature Space Mapping constructive network based on separable functions, optimizing type of the function that is added, is described. Small networks of such type may discover accurate representations of data. Numerical experiments on artificial and real datasets are reported.

• Type: Conference
• Year: 2001
• Where: ESANN
• Authors: Wlodzislaw Duch, Rafal Adamczak, Geerd H. F. Diercksen
• Keywords: ESANN 2001, ESANN 2007, Networks Estimating Probability, Radial Basis Function, Separable Functions