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Article
Quantitative object motion prediction by an ART2 and Madaline combined neural network: Concepts and experiments
Journal of Neural Processing Letters
  • Qiuming Zhu, University of Nebraska at Omaha
  • Ahmed Y. Tawfik, University of Nebraska at Omaha
Document Type
Article
Publication Date
1-1-1995
Disciplines
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.
Comments

The final publication is available at Springer via http://link.springer.com/article/10.1007/BF02312378.

Citation Information
Qiuming Zhu and Ahmed Y. Tawfik. "Quantitative object motion prediction by an ART2 and Madaline combined neural network: Concepts and experiments" Journal of Neural Processing Letters Vol. 2 Iss. 1 (1995) p. 19 - 21
Available at: http://works.bepress.com/qiuming-zhu/17/