Title :
A new radial basis probabilistic neural network model
Author :
Deshuang, Huang ; SongDe, Ma
Author_Institution :
Inst. of Autom., Acad. Sinica, Beijing, China
Abstract :
This paper proposes a new neural network model called radial basis probabilistic neural network (RBPNN) based on the radial basis function network (RBFN) and the probabilistic neural network (PNN). This new model inherits the merits of the two old models and tries to avoid their defects. Finally, the experimental results show that this new model is effective and practical
Keywords :
image recognition; neural nets; PNN; RBFN; RBPNN; probabilistic neural network; radial basis function network; radial basis probabilistic neural network model; Cost function; Equations; Neural networks; Pattern recognition; Scattering; Shape control;
Conference_Titel :
Signal Processing, 1996., 3rd International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-2912-0
DOI :
10.1109/ICSIGP.1996.571134