Design of Hanman Entropy Network from Radial Basis Function Network

Adaptive local Radial Basis Function network

nonstationary channel equalisation problem Eng-Siong Chng y 1, Howard Yang z, Herbert Wiklickyz y Institute of Systems Science, National University of Singapore, Singapore 11957. Email : [email protected] z Brain Information Processing Group, Frontier Research Programme, RIKEN. 2-1 Hirosawa, Wako-shi, Saitama 351-01, JAPAN. Abstract| The computational requirement to implement the optimal Bayesi...

An incremental local radial basis function network

A supervised radial basis function neural network

A New Recurrent Radial Basis Function Network

Cheung and Xu 2001 has presented a dual structural recurrent radial basis function (RBF) network by considering the different scales in net’s inputs and outputs. However, such a network implies that the underlying functional relationship between the net’s inputs and outputs is linear separable, which may not be true from a practical viewpoint. In this paper, we therefore propose a new recurrent...

Median radial basis function neural network

Radial basis functions (RBFs) consist of a two-layer neural network, where each hidden unit implements a kernel function. Each kernel is associated with an activation region from the input space and its output is fed to an output unit. In order to find the parameters of a neural network which embeds this structure we take into consideration two different statistical approaches. The first approa...