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In this paper, we discuss the reconstruction of chaotic dynamics by using a normalized Gaussian network (NGnet), which is a network of local linear regression units. The NGnet is trained by an on-line EM algorithm in order to learn the vector field of the chaotic dynamics.We investigate the robustness of our approach to two kinds of noise processes: system noise and observation noise. System noise...
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