δ-NARMA neural networks: a new approach to signal prediction

Abstract

This article presents a new connectionist architecture for stochastic univariate signal prediction. After a review of related statistical and connectionist models pointing out their advantages and limitations, we introduce the-NARMA model as the simplest non-linear extension of ARMA models. These models then provide the units of a MLP-like neural network… (More)
DOI: 10.1109/78.650106

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