Reconstruction of chaotic dynamics by on-line EM algorithm
Neural Networks
Online Model Selection Based on the Variational Bayes
Neural Computation
On-line EM Algorithm for the Normalized Gaussian Network
Neural Computation
SMEM Algorithm for Mixture Models
Neural Computation
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This article presents a variational Bayes inference for normalized Gaussian network, which is a kind of mixture models of local experts. In order to search for the optimal model structure, we develop a hierarchical model selection method. The performance of our method is evaluated by using function approximation and nonlinear dynamical system identification problems. Our method achieved better performance than existing methos.