1995
DOI: 10.1007/bf02312378
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Quantitative object motion prediction by an ART2 and Madaline combined neural network

Abstract: Abstract. An ART2 and a Madaline combined neural network is applied to predicting object motions in dynamic environments. The ART2 network extracts a set of coherent patterns of the object motion by its self-organizing and unsupervised learning features. The identified patterns are directed to the Madaline network to generate a quantitative prediction of the future motion states. The method does not require any presumption of the mathematical models, and is applicable to a variety of situations..

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