A NEW MODEL ON RADIAL BASIS PROBABILISTIC NEURAL NETWORKS （Ⅰ）:BASIC THEORY

Based on radial basis function network （RBFN） and probabilistic neural network （PNN）, a new radial basis probabilistic neural network （RBPNN） model is proposed. This new network inherits the advantages of RBFNs and PNNs, and it can reduce not only the computation complexity for the network but also the number of the hidden nodes of the network. Specifically, the testing time for this new model is much shorter than that for the RBFN.