Theconvergence of stream data mining algorithms based on probabilistic neural networks

Danuta Rutkowska, Piotr Duda, Jinde Cao, Leszek Rutkowski, Aleksander Byrski, Maciej Jaworski, Dacheng Tao

Abstract: Highlights•The incremental version of the Generalized Regression Neural Network (IGRNN) able to track drifting regression functions.•The incremental version of the Probabilistic Neural Network (IPNN) working in non-stationary environments.•Application of IPNN for tracking drifting discriminant functions.•Mathematical proofs of the L2 convergence of all the proposed estimators.