BAYESIAN ESTIMATION BY USING RADIAL BASIS FUNCTIONS NEURAL NETWORK
The problem decision of Bayesian optimal nonlinear estimation of random vectors by using the radial basis functions neural network is given in this paper. It is shown that the neural network algorithms provide with estimates of Bayesian similar properties. The illustrative example is considered as well.
Keywords: nonlinear optimal estimation, Bayesian approach, radial basis functions neural network, Matlab.